Role & responsibilities

- Own design and build complex Python-led AI/ML and Agentic AI modules across the delivery lifecycle.

- Design and implement agent workflows, tool-calling patterns, RAG pipelines, vector search and enterprise grounding approaches.

- Guide to L11/L10 engineers through code reviews, design clarifications, testing practices and technical issue resolution.

- Drive API, microservices and enterprise platform integration readiness across assigned components.

- Contribute to AI testing, observability, responsible AI controls, monitoring, performance optimization and production support for readiness.

Must Have Skills

- Python & Full-Stack Development

- Agentic AI (LangChain, LangGraph, MCP, RAG)

- Solid Python engineering experience across async programming,



OOP, data structures, scripting and production of AI pipeline development.

- Hands-on experience with GenAI, LLMs, prompt engineering, structured outputs, RAG, vector databases, and semantic search.

- Experience implementing agentic patterns including orchestration, tool use, function calling, memory/state and workflow design.

- Strong API, microservices, integration, testing, and debugging experience.

Ability to guide junior engineers and own technical delivery quality for assigned modules

Preferred candidate profile

📌 RDE-AI/ML Computational Science Specialist (Bengaluru)
🏢 Outworx Solutions
📍 Bengaluru