Programming.com is hiring a Lead Python

Position: Lead Python Engineer (GenAI & Microservices Architecture) Experience: 6–7+ years Location: Panchkula (Onsite) Shift: Night Shift – 7:30 PM IST onwards Role Overview We are looking for a highly skilled Lead Python Engineer with strong expertise in Generative AI and Python-based Microservices Architecture. The ideal candidate will take ownership of designing, building, and scaling AI-driven applications while mentoring team members and ensuring high engineering standards. This role demands hands-on technical leadership, deep backend expertise, and practical experience in integrating GenAI solutions into real-world products. Key Responsibilities Design, develop, and maintain scalable Python-based microservices. Architect and implement Generative AI solutions using LLMs (OpenAI, Azure OpenAI, Anthropic, or open-source models). Build and manage RESTful APIs using frameworks like FastAPI, Flask, or Django. Lead end-to-end development of AI-powered features including prompt engineering, RAG pipelines, embeddings, and vector databases. Collaborate with product, data science, and frontend teams to deliver robust solutions. Ensure performance optimization, security, and best coding practices across services. Review code, mentor junior developers, and drive technical excellence within the team. Work with cloud platforms (AWS/Azure/GCP) for deployment and scaling. Implement CI/CD pipelines and ensure production-grade monitoring and logging. Required Skills 6–7+ years of strong hands-on experience in Python development. Solid experience with Microservices Architecture and distributed systems. Strong experience in Generative AI / AI-ML, including: LLM integration (OpenAI, Azure OpenAI, HuggingFace, etc.) Prompt engineering RAG (Retrieval Augmented Generation) Vector databases (Pinecone, FAISS, Weaviate, ChromaDB, etc.) Experience with frameworks: FastAPI, Flask, Django. Strong knowledge of REST APIs, system design, and backend architecture. Experience with Docker, containers, and orchestration tools. Familiarity with cloud platforms (AWS, Azure, or GCP). Strong understanding of databases (PostgreSQL, MongoDB, Redis, etc.). Good to Have Experience with LangChain, LlamaIndex, or similar GenAI frameworks. Experience with Kubernetes. Exposure to MLOps tools and pipelines. Experience building SaaS or AI-first platforms. Prior experience working in product-based or high-growth startups.