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Tier-1 employer, mid-level experience band, and metro Bangalore location increase candidate competition.
GenAI engineering skills are transferable across industries but require specialized LLM and RAG expertise.
Explicit 4–7 years plus mandatory GenAI, RAG, vector DB and advanced Python skills.
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Design and implement autonomous AI agents using frameworks like LangChain and Crew.ai, focusing on improving agent architecture and capabilities.
Develop and optimize Retrieval Augmented Generation (RAG) systems for enhanced information retrieval and response generation.
Build evaluation frameworks, monitoring systems, and documentation for agent performance and safety.
4 to 7 years of work experience in relevant AI/automation roles.
Proficient in advanced Python programming including async programming and API development.
Experience with vector databases, embedding models, RAG pipelines, prompt engineering, and LLM APIs.
Educational qualification: BE/BTech, MCA, MTech, or MBA.
Experienced in building and deploying autonomous AI agents and knowledgeable about LangChain framework.
Familiar with multiple LLM providers, AI safety principles, and resolving hallucinations in outputs.
Comfortable with modern software development practices (Git, CI/CD, testing), and experienced in AI system monitoring and documentation.