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Mid-level AI role, metro Pune and popular title create high candidate density despite some niche agentic AI requirements.
Specialized agentic/generative AI and RAG experience limits cross-industry transfer without ML background.
Explicit 3-5 years plus mandatory agentic AI frameworks, LLM/RAG and Python testing requirements increase filter strictness.
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Develop and integrate agentic AI workflows and RAG pipelines using frameworks like LangChain and AutoGen alongside LLM APIs such as OpenAI or Anthropic.
Deliver well-engineered, production-quality Python code with test-driven development and code reviews in an Agile/Scrum consulting environment.
Build and maintain data ingestion, transformation, and exploratory analytics pipelines supporting AI solution delivery.
3 to 5 years of software engineering experience with strong Python fundamentals.
Hands-on experience with at least one agentic AI framework (e.g., LangChain, AutoGen) and integration of at least one major LLM (e.g., OpenAI, Anthropic).
Working knowledge of RAG pipeline components including chunking, embeddings, vector retrieval, and prompt engineering.
Graduate or Postgraduate degree in Computer Science, Electronics/Telecommunication or equivalent (B.Tech/B.E., M.Tech, M.Sc., MCA) and located in Pune.
Mid-level engineer comfortable delivering client-facing AI solutions with operational ownership and strong software engineering discipline.
Experienced in agentic and generative AI architectures coupled with data analytics and version control workflows in consulting projects.
Able to quickly ramp on new domains and technologies with clear communication of technical decisions to non-technical stakeholders.