Lead Python Developer + Artificial intelligence_ Exp: 7+ Years

2 weeks ago


New Delhi, India Atyeti Inc Full time

Job Description: Key Responsibilities: Design, develop, and maintain applications inPython . ImplementRAG pipelinesby integratingLLMs (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.)with enterprise and external data sources. DevelopMCP-based integrationsto connect tools, APIs, and enterprise data systems with LLMs. Build APIs and microservices forAI-powered search, summarization, and conversational AI . Createdocument ingestion pipelines(PDFs, databases, SharePoint, etc.) and manage embeddings withvector 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 applicationperformance, security, and scalabilityfor production-grade AI systems. Stay updated withAI 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 inPython . Solid understanding ofOOP, REST APIs, and microservices architecture . Proven experience withLLM-based applicationsandRAG (Retrieval-Augmented Generation)integration. Knowledge and practical implementation ofModel Context Protocol (MCP)for AI tool orchestration. Familiarity withvector databases(FAISS, Pinecone, Weaviate, Qdrant, Azure Cognitive Search). Hands-on experience withLangChain, LlamaIndex, Hugging Face Transformers , or similar AI libraries. Strong problem-solving and cross-functional collaboration skills.Good to Have: Experience withcontainerization (Docker, Kubernetes) . Experience withcloud AI services (Azure, AWS, GCP)for deployment and scaling. Exposure toSQL/NoSQL databasesfor structured and unstructured data. Prior experience inchatbot development, enterprise search, or knowledge management systems . Understanding ofMLOps practicesfor AI model deployment and monitoring.



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