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Lead Python Developer + Artificial intelligence_ Exp : 7+ Years

Lead Python Developer + Artificial intelligence_ Exp : 7+ Years

Atyeti Inckolkata, west bengal, in
1 day ago
Job description

Job Description :

Key Responsibilities :

  • Design, develop, and maintain applications in Python .
  • Implement RAG pipelines by integrating LLMs (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) with enterprise and external data sources.
  • Develop MCP-based integrations to connect tools, APIs, and enterprise data systems with LLMs.
  • Build APIs and microservices for AI-powered search, summarization, and conversational AI .
  • Create document ingestion pipelines (PDFs, databases, SharePoint, etc.) and manage embeddings with vector databases (Pinecone, Weaviate, FAISS, Qdrant, Azure Cognitive Search, etc.) .
  • Collaborate with AI engineers, architects, and data teams to ensure scalable deployment of RAG / MCP solutions.
  • Optimize application performance, security, and scalability for production-grade AI systems.
  • Stay updated with AI frameworks, MCP standards, and cloud AI services .

Required Skills & Experience :

  • Minimum of 8 years of IT experience with 1+ years of AI experience
  • Strong hands-on experience in Python .
  • Solid understanding of OOP, REST APIs, and microservices architecture .
  • Proven experience with LLM-based applications and RAG (Retrieval-Augmented Generation) integration.
  • Knowledge and practical implementation of Model Context Protocol (MCP) for AI tool orchestration.
  • Familiarity with vector databases (FAISS, Pinecone, Weaviate, Qdrant, Azure Cognitive Search).
  • Hands-on experience with LangChain, LlamaIndex, Hugging Face Transformers , or similar AI libraries.
  • Strong problem-solving and cross-functional collaboration skills.

    • Good to Have :

  • Experience with containerization (Docker, Kubernetes) .
  • Experience with cloud AI services (Azure, AWS, GCP) for deployment and scaling.
  • Exposure to SQL / NoSQL databases for structured and unstructured data.
  • Prior experience in chatbot development, enterprise search, or knowledge management systems .
  • Understanding of MLOps practices for AI model deployment and monitoring.
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