Python Developer with LLM (Gen AI)

Role: Python Full stack LLM engineer Location: Remote Duration: Long-term contract Experience: 10 years Job Description: • Independently contribute to the development, testing, and deployment of custom GenAI applications in an enterprise environment. • 6+ years of professional software development experience, with at least 3 years in a full-stack or backend-heavy role. • Strong knowledge of AWS cloud services, containerization (Docker, Kubernetes), and serverless architectures. • 2+ years in LLM application development and modern LLM-enabled coding practices. Experience in end-to-end implementations of RAG architectures, document embedding/indexing pipelines, and agentic workflows. • Familiarity with GenAI evaluation methodologies, including prompt testing, benchmark datasets, and performance monitoring. • Solid grasp of frontend architecture (state management, performance, testing, accessibility) and integration with APIs/backends. • Strong Agile practice: story slicing, definition of ready/done, metrics in Jira, and pragmatic ceremony management. • Design and develop scalable, secure, and reliable full-stack applications leveraging GenAI models and enterprise integration patterns. • Design and implement evaluation frameworks for GenAI applications, including automated prompt testing, regression testing, and human-in-the-loop review workflows. • Build and optimize APIs, microservices, and front-end components for high performance and usability.