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Tier-1 brand, mid-level experience band, and metro location create high applicant density.
Specialized GenAI, agent, and RAG expertise makes skills less transferable across unrelated industries.
Explicit 4–7 years plus mandatory LLM, RAG, Python, and vector DB skills enforce strict filters.
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Design, implement, and optimize autonomous AI agents using frameworks like LangChain, Crew.ai, and Autogen.
Develop and enhance Retrieval Augmented Generation (RAG) systems and evaluation frameworks for agent performance and safety.
Implement monitoring, logging, and documentation to improve agent architecture and development best practices.
4 to 7 years of experience in relevant AI and automation engineering roles.
Advanced Python programming skills, including async programming and API development.
Experience with vector databases, embedding models, RAG pipelines, and knowledge retrieval systems.
Degree required: BE/BTech, MCA, MTech, or MBA.
Proficient in building and deploying autonomous AI agents with hands-on experience in LangChain and large language model APIs.
Strong understanding of AI safety principles and techniques to resolve hallucinations in AI outputs.
Experience working in environments using modern software development tools and practices like Git, CI/CD, and testing.