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Strong brand, metro location, mid-level generalist ML role increases applicant competition.
Specialized LLM and RAG expertise creates strong domain bias across industries.
Explicit 4–7 years plus mandatory LLM, RAG, vector DB and advanced Python requirements make filtering strict.
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Design and implement autonomous AI agents using frameworks like LangChain and Crew.ai, focusing on performance and safety.
Develop and optimize Retrieval Augmented Generation (RAG) systems for enhanced information retrieval and response generation.
Create and maintain monitoring, logging, evaluation frameworks, and documentation for AI agent development and improvement.
4 to 7 years of relevant work experience in AI engineering or related fields.
Advanced Python programming skills including async programming and API development.
Experience with autonomous agents, LangChain framework, RAG systems, and vector databases.
Bachelor's degree in Engineering or Master of Business Administration (MBA), Master of Technology (M.Tech), or equivalent.
Proven expertise in building and deploying autonomous AI agents with strong focus on safety and hallucination mitigation.
Experience working with multiple Large Language Model (LLM) providers and knowledge of prompt engineering and LLM optimization.
Familiarity with modern software development practices such as Git, CI/CD, and container technologies (Docker, Kubernetes).