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Tier-1 brand, mid-level (4–7 yrs) role, and metro location increase candidate competition.
GenAI agent engineering skills are transferable across industries but require ML-specific expertise.
Mandatory 4–7 years plus LangChain, LLM, RAG, vector DB and advanced Python skills.
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Design, develop, and optimize autonomous AI agents using LangChain and related frameworks.
Implement and improve Retrieval Augmented Generation (RAG) systems and large language model (LLM) applications with strong focus on performance, safety, and hallucination resolution.
Develop evaluation frameworks, monitoring tools, and documentation to enhance agent capabilities and maintain best practices.
4 to 7 years of experience in relevant AI engineering or software development roles.
Mandatory advanced Python programming skills including async programming and API development.
Experience with vector databases, embedding models, RAG pipelines, prompt engineering, and modern software development practices (Git, CI/CD, testing).
Educational qualification: BE/BTech/MCA/MTech/MBA.
Proven experience building and deploying autonomous agents in production or development environments.
Strong hands-on familiarity with LangChain framework, multiple LLM providers (e.g., OpenAI, Anthropic), and AI safety principles including hallucination mitigation.
Comfortable working with AI orchestration, NLP, containerization technologies (Docker, Kubernetes), and implementing robust evaluation and monitoring systems.