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Mid-level GenAI role in metro locations with popular skills and a known employer increases competition.
Requires specialized GenAI, LangChain, vector DB and prompt engineering skills limiting cross-industry transfer.
Explicit 4–9 years plus mandatory GenAI tools, Python backend, and cloud experience enforces strict screening.
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Design and develop Generative AI applications using Large Language Models (LLMs), LangChain, and LangGraph.
Develop scalable backend services and APIs in Python integrating with AI platforms like OpenAI, Azure OpenAI, and Anthropic.
Implement and optimize prompt engineering and Retrieval-Augmented Generation (RAG) using vector databases to improve AI model performance.
4 to 9 years of relevant work experience including Python development and Generative AI.
Strong Python development expertise with 4 to 8 years of hands-on experience.
Experience with LangChain, LangGraph, Prompt Engineering, RAG architecture, and vector databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
Location requirement: Bengaluru or Hyderabad; Full-Time Employment.
Proven ability to build and deploy enterprise-scale Generative AI solutions leveraging LLMs and AI workflows.
Experienced in backend development integrating AI platforms and cloud services (Azure, AWS, or GCP) with CI/CD pipelines.
Skilled in creating scalable AI agents and multi-agent system architectures combined with prompt optimization and monitoring for reliability.