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Mid-level specialized agentic AI role in Pune; niche skills limit applicants despite metro location.
Highly domain-specific LLM and agentic AI skills reduce cross-industry transferability.
Mandatory 4+ years and specific LLM, LangChain, React, Python, RL, and multi-agent skills create strict filters.
Design and develop autonomous AI agents using ReAct frameworks to enhance student services and admission processes.
Build, optimize, and orchestrate multi-agent LLM-powered systems for document analysis, communication, and decision-making in educational workflows.
Integrate AI agents with existing EdTech platforms and implement continuous monitoring, evaluation, and learning systems for these agents.
4+ years experience in AI/ML development focused on LLMs and autonomous systems.
Hands-on experience with React framework or similar agentic AI patterns and strong proficiency in Python and AI/ML frameworks (e.g., LangChain, LangGraph, AutoGen).
Deep understanding of LLM concepts including prompting, fine-tuning, RAG, embeddings, vector databases, and knowledge of reinforcement learning and multi-agent systems.
Experience with cloud AI services (OpenAI API, Anthropic, Google AI) and strong knowledge of NLP fundamentals and transformer architectures.
Job location is Pune (Onsite).
Experienced in building agentic AI systems specifically for education or document intelligence use cases.
Technically skilled in multi-agent AI orchestration, prompt engineering, chain-of-thought reasoning, and familiar with AI ethics and bias detection.
Capable of contributing to AI research, possibly with prior publications or open-source project involvement, aiming for growth into AI engineering leadership roles.