Job Description

Job Title: AI Architect / Tech Lead – MCP & AI Integration



Location: Pan India



Job Type: Full-Time | Night Shift



Experience: 5+ Years


About the Role


Programming.com is hiring an experienced AI Architect / Tech Lead to design and lead enterprise-grade AI and Gen-AI integrations. The role focuses on MCP (Model–Context–Prompt) architecture, scalable AI solution design, and integration of LLMs into business applications. This is a night-shift role supporting global clients.


Key Responsibilities




  • Own and design end-to-end AI architecture using MCP (Model–Context–Prompt) framework




  • Lead AI/LLM integration with enterprise applications and APIs




  • Define and implement prompt engineering, context management, and model orchestration strategies




  • Evaluate and integrate LLMs (OpenAI, Azure OpenAI, open-source models)




  • Design scalable, secure, and production-ready AI solutions




  • Guide and mentor development teams on AI best practices




  • Collaborate with stakeholders to translate business needs into AI technical designs




  • Oversee deployment, monitoring, and optimization of AI solutions




  • Provide technical ownership and production support during night shift




Required Skills & Qualifications




  • 5+ years of experience in software development / AI solutions




  • Strong hands-on experience with MCP architecture




  • Proven expertise in AI integration and Gen-AI implementations




  • Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)




  • Strong understanding of prompt engineering and context handling




  • Experience with API integrations and microservices architecture




  • Ability to act as Tech Lead / Architect and guide teams



Nice to Have




  • Experience with RAG (Retrieval-Augmented Generation)




  • Knowledge of vector databases (Pinecone, FAISS, Chroma, etc.)




  • Cloud experience (Azure / AWS / GCP)




  • Exposure to LangChain, Semantic Kernel, LlamaIndex




  • Understanding of AI security, governance, and cost optimization

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