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Mid-level role in a metro with broad LLM and agent requirements increases applicant competition.
Core LLM and agent engineering skills transfer across industries, though education-domain experience is beneficial.
Multiple mandatory LLM/tooling skills and a 4+ years requirement create strict shortlisting filters.
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Design and develop agentic AI systems using React/agentic AI frameworks to automate educational workflows and admissions processes.
Build, optimize, and orchestrate multi-agent AI systems leveraging LLMs for document analysis, student communication, and decision-making.
Integrate AI agents with existing educational technologies and implement continuous learning, monitoring, and evaluation mechanisms for AI models.
Minimum 4 years experience in AI/ML development focused on LLMs and autonomous systems.
Proficient in React frameworks or similar agentic AI patterns, and Python with AI/ML frameworks (LangChain, LangGraph, AutoGen, etc.).
Strong knowledge of LLM concepts including prompting, fine-tuning, retrieval augmented generation, embeddings, vector databases, and prompt engineering.
Experience with cloud AI services (OpenAI API, Anthropic, Google AI) and understanding of NLP fundamentals and transformer architectures.
Job location is onsite in Pune.
Experienced in building complex multi-agent autonomous AI systems, particularly for education or document intelligence domains.
Operates at the intersection of AI research and practical system deployment, capable of integrating multiple AI components into scalable workflows.
Skilled in continuous model improvement, monitoring, and applying cutting-edge agentic AI techniques to transform admissions and student services.