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Programming.com- AI Architect

NextHire Consulting

Programming.com- AI Architect

Reposted 22 Days Ago

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Remote

Hiring Remotely in India

Senior level

Remote

Hiring Remotely in India

Senior level

Design and lead enterprise-grade AI and Gen-AI integrations using the MCP (Model-Context-Prompt) framework. Architect LLM integrations, define prompt engineering and context strategies, evaluate models, design scalable secure solutions, oversee deployment/monitoring/optimization, mentor development teams, translate business needs into technical designs, and provide night-shift production support.

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Job Title: AI Architect / Tech Lead – MCP & AI IntegrationLocation: Pan IndiaJob Type: Full-Time | Night ShiftExperience: 5+ YearsAbout 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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