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Mid-level AI role in metros with in-demand LLM skills and common junior experience band drives high competition.
Core LLM, RAG, and Python skills transfer across industries, though domain-specific ITSM experience adds bias.
Explicit 1–3 years plus mandatory LLM, RAG, and Python requirements create high shortlisting strictness.
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Develop and implement AI agents utilizing LLM APIs based on predefined design patterns.
Integrate AI agents with backend APIs and support retrieval-augmented generation (RAG) pipeline development including data ingestion, embedding, and retrieval.
Contribute to prompt engineering, agent evaluation test cases, and participate in code and prompt reviews under senior guidance.
1 to 3 years of experience in AI/ML or software engineering with exposure to Large Language Models (LLMs).
Proficiency in Python and experience with LLM APIs such as OpenAI or Anthropic.
Understanding of RAG concepts including chunking, embeddings, and vector search.
Work location in Bangalore, Chennai, or Pune (No explicit mention of notice period).
Experience applying prompt engineering techniques including system prompts and few-shot learning within governance frameworks.
Familiarity with RAG pipelines and evaluation metrics to support agent quality and effectiveness.
Comfortable operating within Git-based workflows and participating actively in code and prompt reviews.