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Tier-1 brand, mid-level role, and Bangalore metro increase competition.
GenAI and LLM engineering skills are transferable across industries but require specialized agentic experience.
Explicit 3+ years and mandatory LLM, RAG, Python async, vector DB skills create high filter strictness.
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Design and implement autonomous AI agents using frameworks like LangChain, Crew.ai, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems to enhance information retrieval and responses.
Create evaluation frameworks and monitoring systems for agent performance, safety, and behavior logging.
2 to 3+ years of professional experience in AI engineering or related roles.
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related field; MBA or B.Tech mentioned as qualifications.
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).
Hands-on experience building and deploying autonomous agents and proficiency with LangChain framework.
Strong understanding and practical knowledge of Large Language Models (LLMs) APIs, safety principles, and hallucination resolution.
Familiarity with agent orchestration tools, container technologies (Docker, Kubernetes), NLP techniques, and semantic search concepts.