Gen Ai Engineer Jobs

Senior Frontend Engineer, AI Agents

The Applied AI team at Balyasny Asset Management builds BamGPT — BAM's internal AI platform for assistants, deep research, enterprise integrations, and scheduled workflows. Our next major push is agents: persistent AI systems that can execute multi-step tasks, collaborate with users, and operate inside real investment workflows. We're looking for a Senior Frontend Engineer to own large parts of that experience. You'll work primarily in React, TypeScript, and Next.js, building interfaces for streaming agent output, long-running workflows, tool execution, file-aware research, and the controls that help users understand and steer agent behavior. The products you build will be used daily by portfolio managers, analysts, and researchers across the firm. What You'll Do - Build the core UI for BAM's AI workspace — assistants, agentic workflows, deep research, scheduled prompts, and multi-agent collaboration - Design experiences for streaming responses, asynchronous runs, tool execution, and long-running agent tasks including progress, intervention, and failure recovery - Develop reusable rendering systems for tool and plugin outputs, structured results, citations, and rich AI artifacts - Drive frontend architecture across state management, rendering strategy, performance, testing, and observability - Partner with backend and ML engineers to translate model and agent capabilities into reliable, legible user experiences - Mentor engineers and contribute to technical standards across the platform - Participate in on-call rotations for production issues affecting the user experience Minimum Qualifications - 10+ years of professional software development with substantial modern frontend experience - Expert-level React and TypeScript - Strong Next.js experience and fluency with modern frontend architecture patterns - Experience building streaming or asynchronous UIs with robust loading, retry, and error states - Strong understanding of state management, caching, rendering tradeoffs, and performance optimization - Experience building reusable component systems in large codebases - Solid testing discipline across unit, integration, and end-to-end layers - Strong product and UX judgment for complex, information-dense tools Preferred Qualifications - Experience shipping AI-native or agentic product features in production - Familiarity with LLM APIs (OpenAI, Anthropic, or similar) - Experience with human-in-the-loop design: approvals, intervention, agent supervision - Familiarity with Node.js or Python and comfort working across the stack - Experience with enterprise auth, permissions, and integration-aware UX - Experience with observability tools such as Sentry or Grafana - Background building tools for expert users in demanding domains — finance, devtools, security, research Why Join? You're joining one of the world's top hedge funds to work on the technology that has everyone's attention right now. Agents, LLMs, and agentic workflows are the frontier, and you'll be building production systems around it. Walk the floor and you'll see your apps on almost everyone’s screens. The feedback loop is immediate. People are using what you build and are making consequential decisions with it every day. That kind of proximity to impact is rare in any engineering role.

Senior Frontend Engineer, AI Agents

The Applied AI team at Balyasny Asset Management builds BamGPT — BAM's internal AI platform for assistants, deep research, enterprise integrations, and scheduled workflows. Our next major push is agents: persistent AI systems that can execute multi-step tasks, collaborate with users, and operate inside real investment workflows. We're looking for a Senior Frontend Engineer to own large parts of that experience. You'll work primarily in React, TypeScript, and Next.js, building interfaces for streaming agent output, long-running workflows, tool execution, file-aware research, and the controls that help users understand and steer agent behavior. The products you build will be used daily by portfolio managers, analysts, and researchers across the firm. What You'll Do - Build the core UI for BAM's AI workspace — assistants, agentic workflows, deep research, scheduled prompts, and multi-agent collaboration - Design experiences for streaming responses, asynchronous runs, tool execution, and long-running agent tasks including progress, intervention, and failure recovery - Develop reusable rendering systems for tool and plugin outputs, structured results, citations, and rich AI artifacts - Drive frontend architecture across state management, rendering strategy, performance, testing, and observability - Partner with backend and ML engineers to translate model and agent capabilities into reliable, legible user experiences - Mentor engineers and contribute to technical standards across the platform - Participate in on-call rotations for production issues affecting the user experience Minimum Qualifications - 10+ years of professional software development with substantial modern frontend experience - Expert-level React and TypeScript - Strong Next.js experience and fluency with modern frontend architecture patterns - Experience building streaming or asynchronous UIs with robust loading, retry, and error states - Strong understanding of state management, caching, rendering tradeoffs, and performance optimization - Experience building reusable component systems in large codebases - Solid testing discipline across unit, integration, and end-to-end layers - Strong product and UX judgment for complex, information-dense tools Preferred Qualifications - Experience shipping AI-native or agentic product features in production - Familiarity with LLM APIs (OpenAI, Anthropic, or similar) - Experience with human-in-the-loop design: approvals, intervention, agent supervision - Familiarity with Node.js or Python and comfort working across the stack - Experience with enterprise auth, permissions, and integration-aware UX - Experience with observability tools such as Sentry or Grafana - Background building tools for expert users in demanding domains — finance, devtools, security, research Why Join? You're joining one of the world's top hedge funds to work on the technology that has everyone's attention right now. Agents, LLMs, and agentic workflows are the frontier, and you'll be building production systems around it. Walk the floor and you'll see your apps on almost everyone’s screens. The feedback loop is immediate. People are using what you build and are making consequential decisions with it every day. That kind of proximity to impact is rare in any engineering role.

Senior Frontend Engineer, AI Agents

The Applied AI team at Balyasny Asset Management builds BamGPT — BAM's internal AI platform for assistants, deep research, enterprise integrations, and scheduled workflows. Our next major push is agents: persistent AI systems that can execute multi-step tasks, collaborate with users, and operate inside real investment workflows. We're looking for a Senior Frontend Engineer to own large parts of that experience. You'll work primarily in React, TypeScript, and Next.js, building interfaces for streaming agent output, long-running workflows, tool execution, file-aware research, and the controls that help users understand and steer agent behavior. The products you build will be used daily by portfolio managers, analysts, and researchers across the firm. What You'll Do - Build the core UI for BAM's AI workspace — assistants, agentic workflows, deep research, scheduled prompts, and multi-agent collaboration - Design experiences for streaming responses, asynchronous runs, tool execution, and long-running agent tasks including progress, intervention, and failure recovery - Develop reusable rendering systems for tool and plugin outputs, structured results, citations, and rich AI artifacts - Drive frontend architecture across state management, rendering strategy, performance, testing, and observability - Partner with backend and ML engineers to translate model and agent capabilities into reliable, legible user experiences - Mentor engineers and contribute to technical standards across the platform - Participate in on-call rotations for production issues affecting the user experience Minimum Qualifications - 10+ years of professional software development with substantial modern frontend experience - Expert-level React and TypeScript - Strong Next.js experience and fluency with modern frontend architecture patterns - Experience building streaming or asynchronous UIs with robust loading, retry, and error states - Strong understanding of state management, caching, rendering tradeoffs, and performance optimization - Experience building reusable component systems in large codebases - Solid testing discipline across unit, integration, and end-to-end layers - Strong product and UX judgment for complex, information-dense tools Preferred Qualifications - Experience shipping AI-native or agentic product features in production - Familiarity with LLM APIs (OpenAI, Anthropic, or similar) - Experience with human-in-the-loop design: approvals, intervention, agent supervision - Familiarity with Node.js or Python and comfort working across the stack - Experience with enterprise auth, permissions, and integration-aware UX - Experience with observability tools such as Sentry or Grafana - Background building tools for expert users in demanding domains — finance, devtools, security, research Why Join? You're joining one of the world's top hedge funds to work on the technology that has everyone's attention right now. Agents, LLMs, and agentic workflows are the frontier, and you'll be building production systems around it. Walk the floor and you'll see your apps on almost everyone’s screens. The feedback loop is immediate. People are using what you build and are making consequential decisions with it every day. That kind of proximity to impact is rare in any engineering role.

Senior Software Engineer - Safety - GenAI

$126,140 - $243,800/yr

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the sa

Software engineer, generative AI (UK)

About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role We're looking for an exceptional software engineer, generative AI to join our rapidly evolving team at WRITER. In this pivotal role, you'll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You'll dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works. This role is hybrid, based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager. What you'll do Design and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation Build and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our platform Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production Implement and maintain responsive user interfaces (primarily focused on backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiences Partner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliability Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews ️ What you need 3+ years of hands-on experience as a software engineer, with a strong emphasis on Python development in production environments. We are open to discussing seniority levels from Senior to Staff. Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open source agentic Frameworks. Deep understanding and practical experience with microservices architecture, RESTful APIs, and cloud platforms such as AWS, GCP, or Azure, including containerization with Docker and Kubernetes Solid grasp of modern web technologies including FastAPI, Asyncio, and database systems like PostgreSQL A "Connect" mindset, thriving in collaborative settings where you actively engage with cross-functional teams and mentor junior engineers to achieve shared goals A "Challenge" spirit, demonstrating exceptional problem-solving skills to tackle complex technical hurdles and proactively suggest innovative improvements to our systems and processes An "Own" attitude, taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production, continuously driving performance and maintainability Benefits \& perks (UK full-time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: + Wellness stipend for gym, massage/chiropractor, personal training, etc. + Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options

Senior Software Engineer - GenAI Migration Services

As a Senior Software Engineer, you will play a crucial role in designing, developing, and implementing AI solutions that drive innovation and efficiency within the organization. You will work closely with AI Architects, Data Engineers, and Data Scientists to build scalable AI systems and applications. You will have extensive knowledge of GenAI code generation, testing, reviews, agentic flows, and development process streamlining. This role involves providing technical leadership and support across migration activities, whilst providing tooling oversight and support. You'll work across migration products, delivery, and engineering, spanning all cloud platforms and products. To be successful in this role, you should possess: Programming and Software Engineering skills – Develop and maintain AI models and algorithms using programming languages such as Python, R, Java, and C++, applying software engineering principles including distributed computing, time-frequency analysis, UNIX tools, and advanced signal processing techniques. Machine Learning and AI Fundamentals – Solid knowledge of algorithms (supervised/unsupervised learning, neural networks), model evaluation, code transformation, and data schema conversion; Code Transformation and Refactoring; Data Transformation and Schema Conversion; Automated Test Case Generation. Data Handling and Analysis experience – Ability to work with large datasets, data preprocessing, feature engineering, and use of libraries. Additional skills include: Automation and Tooling Management – Expertise in tooling selection, Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible), and CI/CD implementation. Cloud and Deployment Knowledge – Familiarity with deploying AI models using cloud platforms (AWS, Azure, GCP) or MLOps tools; Cloud architecture expertise; understanding of application migration (full stack) architecture. Problem-Solving and Communication skills – Ability to translate real-world problems into AI solutions and clearly explain results to technical and non-technical stakeholders, and manage technical planning and implementation. You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job-specific technical skills. This role is based out of our Knutsford office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Senior Agentic AI Engineer

Our Company: At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics™ platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems We’re building intelligent systems that go far beyond automation — they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you’ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. You’ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software — from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems. If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up. We are seeking a highly skilled Senior AI Engineer to drive the development and deployment of Agentic AI systems with a strong emphasis on AI observability and data platform integration. You will work at the forefront of cutting-edge AI research and its practical application—designing, implementing, and monitoring intelligent agents capable of autonomous reasoning, decision-making, and continuous learning. Ignite the Future of AI at Teradata! What You'll Do: Shape the Way the World Understands Data As a senior Agentic AI Engineer at Teradata, you’ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications. You will: Design and implement autonomous AI agents for semantic search, text-to-SQL translation, and analytical task execution. Develop modular prompts, reasoning chains, and decision graphs tailored to complex enterprise use cases. Enhance agent performance through experimentation with LLMs, prompt tuning, and advanced reasoning workflows. Integrate agents with Teradata’s Model Context Protocol (MCP) to enable seamless interaction with model development pipelines. Build tools that allow agents to monitor training jobs, evaluate models, and interact with unstructured and structured data sources. Work on retrieval-augmented generation (RAG) pipelines and extend agents to downstream ML systems. Who You'll Work With: Join Forces with the Best You’ll collaborate with a world-class team of AI architects, ML engineers, and domain experts at Silicon Valley, working together to build the next generation of enterprise AI systems. You’ll also work cross-functionally with: Product managers and UX designers to craft agentic workflows that are intuitive and impactful. Domain specialists to ensure solutions align with real-world business problems in regulated industries. Infrastructure and platform teams responsible for training, evaluation, and scaling AI workloads. This is a rare opportunity to shape foundational AI capabilities within a global, data-driven company. This is a deeply collaborative environment where technical innovation meets real-world application, where your ideas are not only heard but implemented to shape the next generation of data interaction. What Makes You a Qualified Candidate: Skills in Action 5+ years of product engineering experience in AI/ML, with strong software development fundamentals. Proficiency with LLM APIs (e.g., OpenAI, Claude, Gemini) and agent frameworks such as AutoGen, LangGraph, AgentBuilder, or CrewAI. Experience designing multi-step reasoning chains, prompt pipelines, or intelligent workflows. Familiarity with agent evaluation metrics: correctness, latency, failure modes. Passion for building production-grade systems that bring AI to life. What You Bring: Passion and Potential Master’s or Ph.D. in Computer Science, AI, or a related field, or equivalent industry experience. Experience working with multimodal inputs, retrieval systems, or structured knowledge sources. Deep understanding of enterprise data workflows and scalable AI architectures. Prior exposure to MCP or similar orchestration/protocol systems. #LI-VB1

AI Engineer / GenAI Developer

Req ID: 351255 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Engineer / GenAI Developer to join our team in Chennai, Tamil Nādu (IN-TN), India (IN). Job Title Intermediate / Senior AI Engineer - Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx Job Summary We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures. This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms. Responsibilities Agentic AI Development: Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries. Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration. RAG Pipelines: Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses. LLM Engineering: Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation. Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques. Enterprise AI Platform: Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols. Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents. MLOps \& Observability: Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions. Applied AI Prototyping: Rapidly prototype, experiment, and iterate to improve AI agent capabilities. Collaboration \& Research: Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings. Collaborate effectively with other engineers, researchers, and data scientists. Contribute to the documentation and standardization of technical code and practices. Required Education Bachelor's degree in Computer Science, Engineering, or a related quantitative field. Master's or Ph.D. is a strong plus. Required Experience 5+ years overall experience in software development, data science, or machine learning. 1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures. 1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools. Required Technical Skills Strong programming skills in Python and basics in SQL. Expertise with LLM/SLM APIs, embeddings, and RAG systems. Experience deploying on Google Cloud Platform (GCP) with Vertex AI, and IBM WatsonX. Familiarity with agentic AI protocols and exposure to Agent Development Kits (ADKs). Preferred Qualifications Experience implementing Model Context Protocol (MCP) for agent coordination. Prior exposure to LangGraph, AutoGen, or related orchestration frameworks. Knowledge of MLOps best practices (CI/CD for ML, observability, monitoring, scaling). Familiarity with responsible AI principles (safety, fairness, interpretability). Experience in enterprise-scale deployments of AI-driven platforms. Contributions to open-source AI/ML projects are a plus. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R\&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Staff Software Engineer, AI Agentic Experience (Auth0)

$188,000 - $282,000/yr

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin

AI/ML Engineering Manager, Payment Intelligence

$331,200 - $496,800/yr

Who we are About Stripe Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scala

GenAI Engineer (m/w/d)

Ihre Aufgaben Deine Mission: Intelligente Systeme der nächsten Generation KI-Lösungen konzipieren und realisieren Fokus GenAI: Konzeption und Umsetzung von modernen RAG-Architekturen (Retrieval Augmented Generation), agentischen Workflows und generativen KI-Use-Cases. Modellierung \& Integration: Auswahl und Feinabstimmung (Fine-Tuning) von LLMs sowie deren Integration in produktive Geschäftsprozesse. Fundament: Während dein Fokus auf Generative AI liegt, nutzt du dein Wissen in klassischen Machine-Learning-Verfahren und Deep Learning, um hybride Lösungen zu schaffen, wo LLMs alleine nicht ausreichen. Verantwortung für End-to-End-Lösungen Production-Ready AI: Du bringst GenAI-Applikationen von der ersten Prompt-Idee über den Prototypen bis hin zum skalierbaren Deployment (LLMOps). Daten \& Orchestrierung: Aufbau und Optimierung der Datengrundlage für Agenten, Vector Databases sowie die Orchestrierung komplexer Workflows und Agenten. Qualitätssicherung: Sicherstellung von Stabilität, Evaluierung von Modell-Outputs (Guardrails) und Performance-Optimierung. Beratung \& Zusammenarbeit Technologie-Übersetzer: Du erklärst Stakeholdern den Unterschied zwischen "Hype" und echtem Business-Value und übersetzt komplexe Architekturen in klare Entscheidungsvorlagen. Interdisziplinarität: Enge Zusammenarbeit mit Business Analyst\innen und Software Engineers, um KI nahtlos in bestehende Software-Ökosysteme einzubetten. Weiterentwicklung \& Wissensaustausch State-of-the-Art: Du beobachtest die rasanten Entwicklungen im Bereich LLMs, multimodale Modelle und Agenten-Frameworks. Wissenstransfer: Aktive Mitgestaltung interner Formate und Prototyping neuer Features für die attempto Akademie. ##### Ihr Profil Fachliches Profil (Fokus GenAI) Frameworks: Du bist sicher im Umgang mit einem oder mehreren LLM/Agenten-Orchestrierungs-Tools wie LangChain, LangGraph, PydanticAI, Google ADK, OpenAI Agent SDK, LlamaIndex oder Haystack. GenAI Stack: Praktische Erfahrung mit Prompt Engineering, Embeddings und dem Aufbau und Management von Vector Databases (z.B. Pinecone, Weaviate, Milvus oder Chroma). Sprachgenie: Exzellente Python-Kenntnisse sind deine Basis. Technisches Verständnis \& Basis Cloud \& Deployment: Erfahrung mit Cloud-KI-Services (Azure OpenAI, AWS Bedrock oder GCP Vertex AI) sowie Docker/Kubernetes. Architektur: Solides Verständnis von APIs, Microservices und Datenpipelines. KI-Fundament: Du verstehst die Mathematik hinter Deep Learning und hast bereits mit Bibliotheken wie PyTorch oder TensorFlow gearbeitet – dies hilft dir, GenAI-Modelle tiefergehend zu verstehen. Arbeitsweise Pioniergeist: Du hast Lust, in einem Feld zu arbeiten, das sich wöchentlich neu erfindet. Analytik: Du arbeitest strukturiert und behältst auch bei komplexen Systemarchitekturen den Überblick. Kommunikation: Du kannst technische Konzepte souverän und adressatengerecht vermitteln und verfügst über sehr gute Deutsch- und Englischkenntnisse. Nice to have Tiefergehende Erfahrung in MLOps oder Data Engineering. Projekterfahrung im regulierten Umfeld (z.B. Banking, Insurance). Kenntnisse in Frontend-Technologien (z.B. Streamlit, React, Copilotkit/AG-UI) für den schnellen Bau von KI-Demos und überzeugenden GenAI-Webapps. ##### Warum wir? JobRad - Leasingangebot mit Arbeitgeberzuschuss JobTicket - lohnsteuerfreier Arbeitgeberzuschuss Vertraglich geregelte Weiterbildungen - gezielte persönliche und fachliche Weiterentwicklung Betriebliche Altersvorsorge - Zuzahlung auf den Versicherungsbeitrag Cooles Office mit viel Raum für Kreativität - mobiles Arbeiten im Homeoffice je nach Projektsituation möglich Mitgestaltung von attempto - Geschäftsführung bezieht Mitarbeiter proaktiv mit ein Mentoring-Programm - Mentoren für neue Mitarbeiter Zahlreiche Firmenevents - Sommerfest, Wiesn, Jahresabschlussfeier uvm. Knowhow-Transfer - Zahlreiche innerbetriebliche Angebote Fit-im-Job Angebote - Gesundheitstage, Firmenläufe uvm. Regionaler Einsatz - Meist regionaler und langfristiger Projekteinsatz Erfolgreiche Teamarbeit - durch Offenheit und Zusammenhalt aller im Team Innovative Projekte - beim Kunden und in der attempto Innovations-Manufaktur ##### Noch Fragen? Wir beantworten sie gerne! Telefon: 089 2170377-77 E-Mail: jobs@attempto.eu Auf diese Stelle bewerben ##### Über uns attempto ist seit 2006 mit der Konzeption und Umsetzung von komplexen IT-Projekten sehr erfolgreich. Wir sind ein starker Partner von Banken und Versicherungen. Auch in der Industrie und im Handel unterstützen wir zukunftsorientierte Projekte. Mehr als 150 Mitarbeiterinnen und Mitarbeiter bringen sich an unseren Standorten München, Karlsruhe und Münster aktiv ein. In der attempto Innovations-Manufaktur im WERK3 beschäftigen wir uns mit den neuesten Trends und Technologien. Digitalisierung, Nachhaltigkeit und soziales Engagement prägen unsere Kultur.

Software Engineer (L5), GenAI - Observability

Senior Staff Machine Learning Engineer - Agentic AI & Digital Experience

About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of

Staff Software Engineer, AI Agentic Search

Software Engineer, AI Agentic Search, Early Career

Software Engineer , AI Agents Tooling & Platforms

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet prope

Senior AI Engineer – LLM & Generative AI

About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of

Sr. Software Engineer- Agentic AI & Digital Experience

About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of

Senior Software Engineer, AI Agentic Experience (Auth0)

$159,000 - $239,000/yr

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin

AI/ML Engineering Manager, Payment Intelligence

$331,200 - $496,800/yr

Who we are About Stripe Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scala

Senior Software Engineer - AI Code Gen - Agent Engineer

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensu

Software Engineer, AI Agents

We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. You'll help build the Teammates platform and experience, currently in beta with Fortune 500 cus

Staff Software Engineer, AI Agentic Experience (Auth0)

$188,000 - $282,000/yr

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin

Sr. Software Engineer- Agentic AI & Digital Experience

About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of

Software Engineer, AI Agents

From $500/yr

We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. You'll help build the Teammates platform and experience, currently in beta with Fortune 500 cus

Senior Software Engineer, AI Agentic Experience (Auth0)

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin

GenAI Engineer (m/w/d)

Ihre Aufgaben Deine Mission: Intelligente Systeme der nächsten Generation KI-Lösungen konzipieren und realisieren Fokus GenAI: Konzeption und Umsetzung von modernen RAG-Architekturen (Retrieval Augmented Generation), agentischen Workflows und generativen KI-Use-Cases. Modellierung \& Integration: Auswahl und Feinabstimmung (Fine-Tuning) von LLMs sowie deren Integration in produktive Geschäftsprozesse. Fundament: Während dein Fokus auf Generative AI liegt, nutzt du dein Wissen in klassischen Machine-Learning-Verfahren und Deep Learning, um hybride Lösungen zu schaffen, wo LLMs alleine nicht ausreichen. Verantwortung für End-to-End-Lösungen Production-Ready AI: Du bringst GenAI-Applikationen von der ersten Prompt-Idee über den Prototypen bis hin zum skalierbaren Deployment (LLMOps). Daten \& Orchestrierung: Aufbau und Optimierung der Datengrundlage für Agenten, Vector Databases sowie die Orchestrierung komplexer Workflows und Agenten. Qualitätssicherung: Sicherstellung von Stabilität, Evaluierung von Modell-Outputs (Guardrails) und Performance-Optimierung. Beratung \& Zusammenarbeit Technologie-Übersetzer: Du erklärst Stakeholdern den Unterschied zwischen "Hype" und echtem Business-Value und übersetzt komplexe Architekturen in klare Entscheidungsvorlagen. Interdisziplinarität: Enge Zusammenarbeit mit Business Analyst\innen und Software Engineers, um KI nahtlos in bestehende Software-Ökosysteme einzubetten. Weiterentwicklung \& Wissensaustausch State-of-the-Art: Du beobachtest die rasanten Entwicklungen im Bereich LLMs, multimodale Modelle und Agenten-Frameworks. Wissenstransfer: Aktive Mitgestaltung interner Formate und Prototyping neuer Features für die attempto Akademie. ##### Ihr Profil Fachliches Profil (Fokus GenAI) Frameworks: Du bist sicher im Umgang mit einem oder mehreren LLM/Agenten-Orchestrierungs-Tools wie LangChain, LangGraph, PydanticAI, Google ADK, OpenAI Agent SDK, LlamaIndex oder Haystack. GenAI Stack: Praktische Erfahrung mit Prompt Engineering, Embeddings und dem Aufbau und Management von Vector Databases (z.B. Pinecone, Weaviate, Milvus oder Chroma). Sprachgenie: Exzellente Python-Kenntnisse sind deine Basis. Technisches Verständnis \& Basis Cloud \& Deployment: Erfahrung mit Cloud-KI-Services (Azure OpenAI, AWS Bedrock oder GCP Vertex AI) sowie Docker/Kubernetes. Architektur: Solides Verständnis von APIs, Microservices und Datenpipelines. KI-Fundament: Du verstehst die Mathematik hinter Deep Learning und hast bereits mit Bibliotheken wie PyTorch oder TensorFlow gearbeitet – dies hilft dir, GenAI-Modelle tiefergehend zu verstehen. Arbeitsweise Pioniergeist: Du hast Lust, in einem Feld zu arbeiten, das sich wöchentlich neu erfindet. Analytik: Du arbeitest strukturiert und behältst auch bei komplexen Systemarchitekturen den Überblick. Kommunikation: Du kannst technische Konzepte souverän und adressatengerecht vermitteln und verfügst über sehr gute Deutsch- und Englischkenntnisse. Nice to have Tiefergehende Erfahrung in MLOps oder Data Engineering. Projekterfahrung im regulierten Umfeld (z.B. Banking, Insurance). Kenntnisse in Frontend-Technologien (z.B. Streamlit, React, Copilotkit/AG-UI) für den schnellen Bau von KI-Demos und überzeugenden GenAI-Webapps. ##### Warum wir? JobRad - Leasingangebot mit Arbeitgeberzuschuss JobTicket - lohnsteuerfreier Arbeitgeberzuschuss Vertraglich geregelte Weiterbildungen - gezielte persönliche und fachliche Weiterentwicklung Betriebliche Altersvorsorge - Zuzahlung auf den Versicherungsbeitrag Cooles Office mit viel Raum für Kreativität - mobiles Arbeiten im Homeoffice je nach Projektsituation möglich Mitgestaltung von attempto - Geschäftsführung bezieht Mitarbeiter proaktiv mit ein Mentoring-Programm - Mentoren für neue Mitarbeiter Zahlreiche Firmenevents - Sommerfest, Wiesn, Jahresabschlussfeier uvm. Knowhow-Transfer - Zahlreiche innerbetriebliche Angebote Fit-im-Job Angebote - Gesundheitstage, Firmenläufe uvm. Regionaler Einsatz - Meist regionaler und langfristiger Projekteinsatz Erfolgreiche Teamarbeit - durch Offenheit und Zusammenhalt aller im Team Innovative Projekte - beim Kunden und in der attempto Innovations-Manufaktur ##### Noch Fragen? Wir beantworten sie gerne! Telefon: 089 2170377-77 E-Mail: jobs@attempto.eu Auf diese Stelle bewerben ##### Über uns attempto ist seit 2006 mit der Konzeption und Umsetzung von komplexen IT-Projekten sehr erfolgreich. Wir sind ein starker Partner von Banken und Versicherungen. Auch in der Industrie und im Handel unterstützen wir zukunftsorientierte Projekte. Mehr als 150 Mitarbeiterinnen und Mitarbeiter bringen sich an unseren Standorten München, Karlsruhe und Münster aktiv ein. In der attempto Innovations-Manufaktur im WERK3 beschäftigen wir uns mit den neuesten Trends und Technologien. Digitalisierung, Nachhaltigkeit und soziales Engagement prägen unsere Kultur.

GenAI Engineer (m/w/d)

Ihre Aufgaben Deine Mission: Intelligente Systeme der nächsten Generation KI-Lösungen konzipieren und realisieren Fokus GenAI: Konzeption und Umsetzung von modernen RAG-Architekturen (Retrieval Augmented Generation), agentischen Workflows und generativen KI-Use-Cases. Modellierung \& Integration: Auswahl und Feinabstimmung (Fine-Tuning) von LLMs sowie deren Integration in produktive Geschäftsprozesse. Fundament: Während dein Fokus auf Generative AI liegt, nutzt du dein Wissen in klassischen Machine-Learning-Verfahren und Deep Learning, um hybride Lösungen zu schaffen, wo LLMs alleine nicht ausreichen. Verantwortung für End-to-End-Lösungen Production-Ready AI: Du bringst GenAI-Applikationen von der ersten Prompt-Idee über den Prototypen bis hin zum skalierbaren Deployment (LLMOps). Daten \& Orchestrierung: Aufbau und Optimierung der Datengrundlage für Agenten, Vector Databases sowie die Orchestrierung komplexer Workflows und Agenten. Qualitätssicherung: Sicherstellung von Stabilität, Evaluierung von Modell-Outputs (Guardrails) und Performance-Optimierung. Beratung \& Zusammenarbeit Technologie-Übersetzer: Du erklärst Stakeholdern den Unterschied zwischen "Hype" und echtem Business-Value und übersetzt komplexe Architekturen in klare Entscheidungsvorlagen. Interdisziplinarität: Enge Zusammenarbeit mit Business Analyst\innen und Software Engineers, um KI nahtlos in bestehende Software-Ökosysteme einzubetten. Weiterentwicklung \& Wissensaustausch State-of-the-Art: Du beobachtest die rasanten Entwicklungen im Bereich LLMs, multimodale Modelle und Agenten-Frameworks. Wissenstransfer: Aktive Mitgestaltung interner Formate und Prototyping neuer Features für die attempto Akademie. ##### Ihr Profil Fachliches Profil (Fokus GenAI) Frameworks: Du bist sicher im Umgang mit einem oder mehreren LLM/Agenten-Orchestrierungs-Tools wie LangChain, LangGraph, PydanticAI, Google ADK, OpenAI Agent SDK, LlamaIndex oder Haystack. GenAI Stack: Praktische Erfahrung mit Prompt Engineering, Embeddings und dem Aufbau und Management von Vector Databases (z.B. Pinecone, Weaviate, Milvus oder Chroma). Sprachgenie: Exzellente Python-Kenntnisse sind deine Basis. Technisches Verständnis \& Basis Cloud \& Deployment: Erfahrung mit Cloud-KI-Services (Azure OpenAI, AWS Bedrock oder GCP Vertex AI) sowie Docker/Kubernetes. Architektur: Solides Verständnis von APIs, Microservices und Datenpipelines. KI-Fundament: Du verstehst die Mathematik hinter Deep Learning und hast bereits mit Bibliotheken wie PyTorch oder TensorFlow gearbeitet – dies hilft dir, GenAI-Modelle tiefergehend zu verstehen. Arbeitsweise Pioniergeist: Du hast Lust, in einem Feld zu arbeiten, das sich wöchentlich neu erfindet. Analytik: Du arbeitest strukturiert und behältst auch bei komplexen Systemarchitekturen den Überblick. Kommunikation: Du kannst technische Konzepte souverän und adressatengerecht vermitteln und verfügst über sehr gute Deutsch- und Englischkenntnisse. Nice to have Tiefergehende Erfahrung in MLOps oder Data Engineering. Projekterfahrung im regulierten Umfeld (z.B. Banking, Insurance). Kenntnisse in Frontend-Technologien (z.B. Streamlit, React, Copilotkit/AG-UI) für den schnellen Bau von KI-Demos und überzeugenden GenAI-Webapps. ##### Warum wir? JobRad - Leasingangebot mit Arbeitgeberzuschuss JobTicket - lohnsteuerfreier Arbeitgeberzuschuss Vertraglich geregelte Weiterbildungen - gezielte persönliche und fachliche Weiterentwicklung Betriebliche Altersvorsorge - Zuzahlung auf den Versicherungsbeitrag Cooles Office mit viel Raum für Kreativität - mobiles Arbeiten im Homeoffice je nach Projektsituation möglich Mitgestaltung von attempto - Geschäftsführung bezieht Mitarbeiter proaktiv mit ein Mentoring-Programm - Mentoren für neue Mitarbeiter Zahlreiche Firmenevents - Sommerfest, Wiesn, Jahresabschlussfeier uvm. Knowhow-Transfer - Zahlreiche innerbetriebliche Angebote Fit-im-Job Angebote - Gesundheitstage, Firmenläufe uvm. Regionaler Einsatz - Meist regionaler und langfristiger Projekteinsatz Erfolgreiche Teamarbeit - durch Offenheit und Zusammenhalt aller im Team Innovative Projekte - beim Kunden und in der attempto Innovations-Manufaktur ##### Noch Fragen? Wir beantworten sie gerne! Telefon: 089 2170377-77 E-Mail: jobs@attempto.eu Auf diese Stelle bewerben ##### Über uns attempto ist seit 2006 mit der Konzeption und Umsetzung von komplexen IT-Projekten sehr erfolgreich. Wir sind ein starker Partner von Banken und Versicherungen. Auch in der Industrie und im Handel unterstützen wir zukunftsorientierte Projekte. Mehr als 150 Mitarbeiterinnen und Mitarbeiter bringen sich an unseren Standorten München, Karlsruhe und Münster aktiv ein. In der attempto Innovations-Manufaktur im WERK3 beschäftigen wir uns mit den neuesten Trends und Technologien. Digitalisierung, Nachhaltigkeit und soziales Engagement prägen unsere Kultur.

AI Agent Engineer

$150,000 - $200,000/yr

At Sendbird, we are building the world's no1. customer communications platform. We power over 300M+ people's conversations every month and we are working with the leading customers such as DoorDash, Match Group, Yahoo!, PayPal, Walgreens, and have raised $220M+ in total funding from ICONIQ, Tiger Global, Meritech, Emergence, SoftBank Vision Fund, Steadfast, Shasta, and August. Sendbird is on a mission to build the AI workforce of tomorrow. Sendbird is the omnichannel AI agent platform enterprises choose to elevate the customer experience by initiating autonomous support & sales conversations, keeping humans in the loop for complex inquiries, and re-engaging customers with proactive business messages. We are the omnichannel AI agent platform enterprises choose to elevate customer experience. Trusted by 4,000+ of the world’s most popular apps—including industry leaders like Match Group, Rakuten, Yahoo, and Coupang—Sendbird powers over 7 billion messages every month. We’re looking for an

Business Solutions Engineer, (Agentic AI)

From $12/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community

Senior Software Engineer - Safety - GenAI

From $300/yr

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the sa

Sr. Software Engineer- Agentic AI & Digital Experience

About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of

Software Engineering Manager, AI Agents

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet prope

GenAI Engineer

From $100/yr

Job Title: GenAI Developer/ Engineer About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount<

Full Stack Engineer / AI Generalist

From $202/yr

Join Sameday.AI We're transforming the world with full-service virtual agents using advanced AI technology. Founded in 2021, our innovative solutions have attracted support from top investors, including Y Combinator, Nat Friedman, Daniel Gross, Ludlow Ventures, and more. Our mission is to build technology that enables businesses to thrive, leveraging AI to create seamless customer interactions and help companies grow. By joining us, you'll be part of a dedicated team reshaping how home service businesses handle sales, customer support, and overall customer interactions. We believe in pushing boundaries and delivering exceptional value to our clients by making advanced AI accessible to businesses of all sizes. At Sameday.AI, we are focused on creating AI tools that simplify complex workflows, automate mundane tasks, and ultimately empower businesses to achieve their goals faster. Our team is passionate about making a difference and redefining what is possible with technology. As part of

Senior Manager, Machine Learning Engineering - GenAI

From $12/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

Software Engineer, AI Agents

$171,000 - $258,000/yr

We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. You'll help build the Teammates platform and experience, currently in beta with Fortune 500 cus

AI/ML Engineering Manager, Payment Intelligence

Who we are About Stripe Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scala

Senior GenAI Engineer

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: <a href="https://www.capco.com/Careers/Slovakia/"

Generative AI Engineer

Generative AI Engineer Mumbai, MH Engineering – Data Engineering and Data Science / Full time (Remote) / Remote Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization. We are seeking a highly skilled and innovative Generative AI Engineer to join our team. In this role, you will develop and deploy cutting-edge generative AI models to solve real-world problems. You will work on building models that generate content, understand complex data, and collaborate closely with cross-functional teams to implement AI-powered solutions. What you will do? - Design and implement generative AI solutions using large language models

Software Engineer - GenAI inference

P-1284 About This Role As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management. <strong

Senior AI Engineer – LLM & Generative AI

About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of

Software Engineer , AI Agents Tooling & Platforms

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet prope

Staff Software Engineer - GenAI inference

P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestra

Senior Machine Learning Engineer - GenAI Platform

P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have b

Staff Software Engineer - GenAI Performance and Kernel

P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering. You will work closely with ML researchers, sys

(Senior) GenAI Engineer

(Senior) GenAI Engineer Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our

Senior Software Engineer - AI Authentication (Auth for GenAI)

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin

Staff Software Engineer, AI Agentic Experience (Auth0)

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin

Senior Software Engineer, AI Agentic Experience (Auth0)

Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin