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Tier-1 employer, mid-level GenAI role in Bangalore with popular LLM skills increases competition.
GenAI, LangChain, RAG and vector DB skills are broadly transferable across industries.
Explicit 4–7 years plus mandatory LangChain, RAG, LLM and vector DB skills creates strict shortlisting.
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Design and implement autonomous AI agents using LangChain, Crew.ai, or similar frameworks to enable advanced intelligent automation solutions.
Develop and optimize Retrieval Augmented Generation (RAG) systems to enhance information retrieval and response accuracy within AI applications.
Build evaluation, monitoring, and documentation systems to ensure agent performance, safety, and continual improvement.
4 to 7 years of relevant experience in AI engineering and autonomous agent development.
Advanced Python programming skills with expertise in async programming and API development.
Proficiency with LangChain framework, vector databases, embedding models, RAG pipelines, prompt engineering, and LLM optimization.
Bachelor’s or Master’s degree in Engineering (BE, ME, M.Tech) or MBA/MCA.
Experienced in hands-on AI development including building, deploying, and optimizing autonomous agents and RAG systems.
Strong understanding of safety principles in AI, including techniques to resolve hallucinations and align agent behavior.
Familiar with modern software development practices (Git, CI/CD, testing) in an Agile environment for scalable AI solution delivery.