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Tier-1 brand, mid-level experience band, and metro/PAN-India reach increase qualified applicant density.
Medium because LLM and agent engineering skills transfer across industries but require specialized GenAI tooling experience.
Explicit 4–7 years plus mandatory LLM, LangChain, vector DBs, and async Python enforces strict filtering.
Design, implement, and optimize autonomous AI agents using frameworks like LangChain, Autogen, Crew.ai.
Develop and enhance Retrieval Augmented Generation (RAG) systems for improved information retrieval and response generation.
Create evaluation and monitoring systems for agent performance, safety, and documentation of best practices.
4 to 7 years work experience in relevant AI engineering roles.
Mandatory skills include advanced Python programming (async and API development), experience with vector databases, embedding models, RAG pipelines, and prompt engineering.
Educational qualifications: BE/BTech/MCA/MTech/MBA.
Experience with large language models (LLMs), their APIs, and understanding of safety and hallucination resolution in AI outputs.
Experienced in building and deploying autonomous AI agents with strong hands-on expertise in LangChain and RAG systems.
Skilled in modern software development practices including Git, CI/CD, testing.
Familiar with multiple LLM providers, agent orchestration tools, NLP techniques, container technologies, and AI alignment and safety principles.