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Posted:1 week ago| Platform: Naukri logo

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Job Description

We are seeking a Senior Data Scientist with strong engineering skills and hands-on experience in Python , FastAPI , and asynchronous programming , along with a deep understanding of LLM orchestration frameworks like LangChain and LangGraph . The ideal candidate should have proven experience designing and deploying agentic AI systems using frameworks such as A2A and CrewAI .
This role combines data science expertise with backend development and generative AI innovations, driving impactful solutions across domains.
Key Responsibilities:
  • Design and deploy intelligent applications using LLMs with LangChain and LangGraph.
  • Build and orchestrate agentic workflows using A2A, CrewAI, or similar frameworks.
  • Develop robust, scalable APIs using FastAPI and async programming.
  • Implement end-to-end pipelines that integrate AI agents with external APIs, databases, and tools.
  • Conduct prompt engineering, memory management, retrieval augmentation, and tool integration.
  • Evaluate and improve model performance through experimentation and fine-tuning.
  • Collaborate with ML engineers, product managers, and backend developers to deliver AI-powered features.
  • Stay abreast of the latest advancements in the LLM, agentic AI, and multi-agent system space.
Required Skills & Experience:
  • Strong Python programming expertise (6+ years).
  • Experience building REST APIs with FastAPI and handling async/await operations.
  • Deep understanding of LLM frameworks like LangChain , LangGraph , or custom agent frameworks.
  • Experience with multi-agent orchestration frameworks like AutoGen , A2A , CrewAI , etc.
  • Experience in prompt engineering , RAG (retrieval-augmented generation) , and vector DBs (e.g., FAISS, Pinecone).
  • Good grasp of architectural patterns for scalable AI applications.
  • Knowledge of common LLM APIs (e.g., OpenAI, Anthropic, Cohere).

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