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Tier-1 brand, metro Bangalore, mid-level AI role with broad GenAI skillset.
Highly specialized GenAI agent, LLM and RAG expertise reduces cross-industry transferability.
Multiple mandatory GenAI technical skills plus explicit years requirement enforce strict filters.
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Design and implement autonomous AI agents using frameworks such as LangChain, Crew.ai, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems to enhance information retrieval and response generation.
Create evaluation frameworks, implement monitoring systems, and improve agent architectures focusing on performance, safety, and documentation.
2 to 3+ years of relevant work experience.
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related fields; MBA or Bachelor of Technology preferred.
Advanced Python programming skills, including asynchronous programming and API development mandatory.
Experience with vector databases, embedding models, RAG pipelines, prompt engineering, and modern software development practices (Git, CI/CD, testing).
Experience specifically with autonomous agent development and LangChain framework usage.
Strong understanding of LLM APIs, safety principles in AI, and resolving hallucinations in AI outputs.
Familiarity with multiple LLM providers, NLP techniques, container technologies (Docker/Kubernetes), and AI agent orchestration workflows.