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Tier-1 brand, metro location, mid-level role amplify applicant competition despite niche GenAI skills.
Specialized GenAI and agent development skills limit cross-domain transferability.
Explicit 4–7 years plus mandatory GenAI stack (LangChain, RAG, vector DBs, Python) increases screening rigidity.
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Design and implement autonomous AI agents using frameworks such as LangChain, Crew.ai, SK, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems and evaluation frameworks for agent performance and safety.
Implement monitoring, logging, and documentation practices to improve agent architecture and capabilities.
4 to 7 years of relevant work experience.
Bachelor's degree in Engineering or Master's degree in Business Administration (BE, ME, M.Tech, B.Tech, MBA, MCA).
Advanced Python programming skills, including async programming and API development.
Proficiency with vector databases, embedding models, RAG pipelines, prompt engineering, and modern software development practices (Git, CI/CD, testing).
Experienced in building and deploying autonomous agents with LangChain and RAG systems.
Strong understanding of large language models (LLMs), their APIs, and safety principles, including hallucination mitigation.
Familiarity with multiple LLM providers, agent orchestration tools, NLP techniques, container technologies (Docker, Kubernetes), and agent alignment considerations.