- Solid proficiency in Python, with hands-on experience building production-grade software (not just notebooks/prototypes).
- Practical experience with agentic frameworks such as LangChain, LangGraph, or similar.
- Solid understanding of LLM fundamentals — prompting, tool/function calling, RAG, embeddings, context management, memory systems.
- Experience designing modular, platform-agnostic architectures (i.e., not tightly coupled to a single LLM vendor or cloud provider).
- Understanding of SDLC processes (CI/CD, version control, code review, testing) and how AI agents can augment or automate them.
- Experience with API design, microservices, and building extensible/reusable frameworks or SDKs.
- Familiarity with agent evaluation and observability tooling (e.g., LangSmith, tracing frameworks, custom eval harnesses).
- Strong grasp of governance concepts for AI systems — guardrails, access control, auditability, human oversight.

📌 Python Gen AI Engineer (Chennai)
🏢 Cognizant
📍 Chennai