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Tier-1 brand, mid-level experience, metro location, and PAN-India sourcing increase candidate competition.
GenAI engineering skills are transferable across industries but require specific agent-framework experience, so medium sensitivity.
Mandatory GenAI, LangChain, RAG, vector DB, and async Python skills make shortlisting highly strict.
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Design and implement autonomous AI agents using frameworks like LangChain, Crew.ai, and similar technologies.
Develop and optimize Retrieval Augmented Generation (RAG) systems and related information retrieval pipelines to enhance agent performance.
Create evaluation frameworks, monitor agent behavior, maintain documentation, and contribute to improving agent architecture and safety practices.
4 to 7 years of relevant experience in AI/GenAI engineering roles.
Proficient in advanced Python programming including async programming and API development.
Experience with vector databases, embedding models, Retrieval Augmented Generation systems, prompt engineering, and large language model (LLM) APIs.
Education: BE/BTech/MCA/MTech/MBA (Bachelor or Master’s degree in Engineering, Computer Applications, or Business Administration).
Experienced in building autonomous AI agents with practical knowledge of LangChain and RAG systems.
Strong understanding of AI safety principles, hallucination mitigation, and agent alignment.
Familiar with modern software development best practices including Git, CI/CD, and testing frameworks.