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Strong employer brand, metro Bangalore location, and popular GenAI role with broad requirements increases competition.
Highly specialized GenAI, RAG and agent engineering skills limit cross-industry transferability.
Explicit 1–3 years plus mandatory LLM, LangChain, vector DB and advanced Python skills create strict filters.
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Design and implement autonomous agents and Retrieval Augmented Generation (RAG) systems using frameworks like LangChain, Crew.ai, and others.
Develop evaluation frameworks, monitoring systems, and documentation to ensure agent performance, safety, and continuous improvement.
Contribute to enhancing agent architecture and capabilities with a focus on resolving hallucinations and optimizing large language model (LLM) applications.
1-3 years of relevant work experience in AI, autonomous agents, or related data and analytics engineering.
Full-time degree required: BE/BTech/MCA/MTech/MBA.
Advanced Python programming skills, including async programming and API development.
Experience with vector databases, embedding models, RAG pipelines, prompt engineering, Git, CI/CD, and software testing.
Experienced in autonomous agent development and optimization using multiple LLM providers and frameworks such as LangChain.
Comfortable applying modern software engineering practices in AI development, including monitoring, logging, and safety principles.
Familiar with containerization technologies (Docker, Kubernetes) and concepts of semantic search, agent alignment, and NLP techniques.