RDE-AI/ML Computational Science Specialist

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)
• Strong 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