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Strong employer brand, mid-level (4–7 yrs), metro location, and popular GenAI role increase competition.
Specialized GenAI and agent engineering skills create high domain specificity and limited cross-domain transferability.
Explicit 4–7 years plus mandatory GenAI, LangChain, RAG, vector DB and Python skills enforce strict filtering.
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Design and implement autonomous AI agents using frameworks like LangChain, Crew.ai, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems and create evaluation frameworks for agent performance and safety.
Implement monitoring, logging, and documentation for agent behavior and contribute to agent architecture improvements.
4 to 7 years work experience in relevant AI engineering roles.
Proficiency in advanced Python programming, including async programming and API development.
Strong hands-on experience with autonomous agents, LangChain framework, RAG systems, Large Language Models (LLMs), and safety principles in AI.
Bachelor's or Master's degree in Engineering, MCA, MTech, or MBA.
Experienced in designing and deploying AI automation solutions with a focus on AI agent autonomy and retrieval-based generation.
Skilled in modern software development practices, including Git, CI/CD, and testing, with ability to implement complex AI system pipelines.
Knowledgeable of multiple LLM providers, agent orchestration tools, NLP techniques, and AI safety/agent alignment concepts.