- Position – Generative AI Architect
- Experience – 10+ Years
- Location
– Pune/ Bangalore/ Kolkata/ Indore
- Skills -
Gen AI Development Machine Learning, Retrieval Augmented Generation (RAG), Langchain, Vector Databases, Langgraph, Arize Phoenix, RAGAs, LLM-as-a-Judge, MCP
Notice Period –
Immediate to 15 Days
Job Description
- Overview We are seeking an exceptionally skilled and experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires a blend of deep machine learning and natural language processing expertise with hands-on architectural experience in building scalable, production-grade LLM applications. The ideal candidate will be a technical leader who can drive innovation, define best practices, and mentor engineering teams in the evolving GenAI space.
Key Responsibilities
- Design and lead the implementation of end-to-end, high-performance Generative AI architectures, focusing on scalability, cost-efficiency, and resilience.
- Architect and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise-specific knowledge bases, including vector store integration, indexing, and retrieval optimization.
- Design and implement complex, multi-step Agentic AI systems and sophisticated conversational flows using frameworks like LangChain and LangGraph.
- Establish robust MLOps and GenAI-Ops practices, integrating observability and evaluation tools such as LangSmith, Phoenix, or Langfuse to monitor model performance, latency, cost, and drift in production.
- Define and implement LLM evaluation methodologies, utilizing tools like Ragas to quantitatively assess the quality (e.g., faithfulness, answer relevance, context adherence) of RAG and Agentic AI applications.
- Continuously evaluate recent LLMs, foundation models, open-source frameworks, and emerging GenAI technologies to recommend and integrate the best-fit solutions.
- Work closely with Data Scientists, ML Engineers, and
📌 Generative AI Architect (Pune)
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