STAFFXPERT LLC
Software Engineer
Austin, TXunknown
About the role
Software Engineer Backend (Java, Python \& Generative AI) **Location:** Austin, TX **Job Summary** STAFFXPERT LLC is seeking a Software Engineer Backend (Java, Python \& Generative AI) on behalf of our client in Austin, TX. This role is ideal for a highly skilled backend engineer with experience building scalable applications, developing AI/ML\-powered solutions, and working within modern cloud environments. The ideal candidate will have strong expertise in Java and Python, along with hands\-on experience in machine learning frameworks and backend system design. Key Responsibilities * Design, develop, and maintain scalable backend systems and APIs using Java and Python. * Build and integrate machine learning and AI\-driven features into production applications. * Develop and optimize ML pipelines, model training workflows, and deployment processes. * Collaborate with cross\-functional teams including engineering, product, and data teams to deliver high\-quality solutions. * Ensure backend services are reliable, secure, and scalable within cloud\-based environments. * Participate in architecture discussions, code reviews, testing, and system optimization initiatives. * Troubleshoot and resolve performance, scalability, and reliability issues across applications and services. **Required Qualifications** * Strong backend engineering experience with Java and Python. * Experience developing RESTful APIs, microservices, and distributed systems. * Hands\-on experience with machine learning, including model development and training pipelines. * Familiarity with modern ML frameworks such as PyTorch, TensorFlow, and scikit\-learn. * Experience working with cloud infrastructure and data processing tools. * Ability to work independently while effectively collaborating with existing engineering teams. * Strong verbal and written communication skills. **Preferred Qualifications** * Experience with Generative AI, Large Language Models (LLMs), or AI\-powered application development. * Familiarity with Docker, Kubernetes, and CI/CD pipelines. * Knowledge of vector databases, RAG architectures, or model deployment frameworks is a plus. * Prior experience in high\-growth or fast\-paced engineering environments preferred.
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