Experience: 10+ Years | Domain: AI/ML, GenAI & Agentic AI
Role Overview
We are looking for a Lead AI/ML Engineer – Agent Developer to lead the design and development of enterprise-grade Agentic AI solutions. The role involves owning agent architecture, RAG, prompt engineering, evaluation, and production optimization.
Key Responsibilities
Architect AI Agent frameworks, orchestration & tool-calling patterns.
Own RAG architecture, embeddings, retrieval optimization & accuracy.
Define LLM/Agent evaluation using golden datasets, hallucination testing & regression frameworks.
Establish prompt engineering standards and review practices.
Optimize production agents for accuracy, latency & cost.
Lead technical design reviews and mentor junior AI engineers.
Must-Have Skills
10+ years in AI/ML Engineering
5+ years working with production LLM/GenAI systems
Solid expertise in Agentic AI, LLMs, RAG & Prompt Engineering
Expert-level Python
Experience with Agent Evaluation & LLM testing
Solid understanding of token management, latency & cost optimization
Experience leading/mentoring AI/ML engineering teams