Description

Key Skills: Agentic AI, LLM, Gen AI, Retrieval-Augmented Generation (RAG)

Roles and Responsibilities:

• Design and deliver scalable AI and GenAI systems combining ML models, LLMs, retrieval, orchestration, and data pipelines.
• Lead solution design for complex, ambiguous problems where requirements and success criteria evolve.
• Make architectural trade-offs across model selection, retrieval strategies, cost, latency, and scalability.
• Drive solutions from proof-of-concept to production-grade systems used across multiple teams.
• Ensure robustness, observability, and optimization of AI systems in real-world environments.

Skills Required:

• 5 - 8 years of relevant experience in applied AI/GenAI engineering
• Gen AI and applied experience building production GenAI capabilities.
• Agentic AI experience designing agent workflows and orchestration patterns.
• LLM development experience, including prompt/response handling and system integration.
• Retrieval-Augmented Generation (RAG) experience implementing retrieval, grounding, and generation pipelines.

Good to Have:

• End to End Design Excecution experience delivering end-to-end AI solutions from design through production.

Education: B.E., B.Tech, B.Tech M.Tech (Dual), M.Com, M.Tech, M.Sc., or MCA

Key Skills

Education

Not specified