Lead Python Developer + Artificial intelligence_ Exp : 8+ Years

Job Description :

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.