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Tier-1 brand, mid-level experience, Bangalore metro, and strong GenAI demand drive high competition.
Specialized GenAI and agent engineering require ML expertise but are moderately transferable across industries.
Explicit 4–7 years plus mandatory GenAI, LangChain, RAG, vector DB and Python async skills make filters high.
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Design and implement autonomous agents using frameworks like LangChain, Crew.ai, SK, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems for enhanced information retrieval and response.
Create and maintain evaluation frameworks, monitoring systems, and documentation to improve agent performance and safety.
4 to 7 years of relevant work experience.
Strong expertise in advanced Python programming including async programming and API development.
Hands-on experience with autonomous agents, LangChain framework, RAG systems, Large Language Models (LLMs), and vector databases.
Bachelor's or Master's degree in Engineering (BE/BTech/MTech), MCA, or MBA.
Proficient in designing and deploying autonomous AI agents and RAG pipelines with a focus on safety and hallucination mitigation.
Experienced in modern software development practices including Git, CI/CD, and testing frameworks.
Knowledge of multiple LLM providers, agent orchestration tools, NLP techniques, container technologies, and AI alignment principles.