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Mid-level ML role with metro location and broad GenAI skillset increases applicant competition.
Specialized GenAI and enterprise RAG experience narrows industry fit but skills are moderately transferable.
Explicit 5–8 years plus mandatory LLM, RAG, Python, and production experience enforces strict filters.
Design, develop, and deploy enterprise-grade Generative AI applications including AI-powered assistants, copilots, chatbots, and knowledge management platforms.
Build and optimize Large Language Model (LLM) powered applications leveraging Retrieval-Augmented Generation (RAG) architectures with document ingestion, chunking, embedding, retrieval, and reranking pipelines.
Integrate emerging AI technologies, frameworks, and enterprise data sources to implement scalable AI workflows that improve business processes and user experiences.
5 to 8 years of relevant experience, including minimum 3+ years in production-grade software application and API development.
Proficiency in Python and backend frameworks such as FastAPI, Flask, or Node.js.
Experience delivering LLM, RAG, or Agentic AI solutions for enterprise use cases.
Location: All Persistent Locations (e.g., Pune); Work type: Full Time Employment
Experienced in building production-ready Generative AI solutions with hands-on skills in prompt engineering, embeddings, chunking strategies, retrieval, reranking, and grounded responses.
Comfortable developing and managing AI agents, workflow orchestration, and integration across enterprise data ecosystems.
Ability to evaluate and implement cutting-edge AI techniques and scalable architectures to drive operational efficiency and business value.