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Tier-1 brand, metro location, mid-level role balanced by niche GenAI skill requirements.
Highly domain-specific GenAI and agent engineering skills limit cross-industry transferability.
Explicit 4–7 years plus mandatory LLM, RAG, vector DB, and Python async skills.
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Design, develop, and implement autonomous agents using frameworks like LangChain, Crew.ai, SK, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems to enhance information retrieval and response accuracy.
Establish evaluation, monitoring, and safety frameworks for agent performance and document best practices for agent development.
4 to 7 years of relevant work experience.
Proficiency in advanced Python programming including async programming and API development.
Experience with vector databases, embedding models, RAG pipeline implementation, and knowledge retrieval systems.
Educational qualifications: BE/BTech, MCA, MTech, or MBA.
Experienced in building and deploying autonomous agents with hands-on use of LangChain and RAG systems.
Strong knowledge of Large Language Models (LLMs), prompt engineering, and LLM optimization techniques.
Familiarity with modern software development practices including Git, CI/CD, testing, and understanding of AI agent safety and hallucination resolution.