Key Responsibilities: • Develop and maintain Python-based components that support Generative AI use cases, ensuring clean, testable, and maintainable code. • Build end-to-end AI workflows including data preparation, prompt design, orchestration, and integration into applications. • Integrate Generative AI capabilities into products/services via APIs and modular services, focusing on reliability and performance. • Implement evaluation approaches for Generative AI outputs (quality, safety, consistency) and iterate based on measurable results. • Collaborate with cross-functional stakeholders to refine requirements, define success metrics, and deliver incremental improvements. • Troubleshoot and optimize AI pipelines and Python services, addressing latency, scalability, and operational stability. • Contribute to documentation, code reviews, and engineering best practices to support team productivity and knowledge sharing. Minimum Qualifications: • B.Tech / M.Tech / M.Sc or equivalent in a relevant field. • 3–5 years of hands-on experience building solutions using Python. • Practical experience working with Generative AI concepts and implementing GenAI-driven features or prototypes. • Strong problem-solving skills with the ability to write robust code, debug effectively, and deliver within timelines. • Ability to collaborate in a team environment and communicate technical ideas clearly to varied stakeholders.