Senior AI Engineer

Role: Senior AI Engineer

Location: Pune, India

About the Role

We are looking for an experienced Senior AI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions powered by Large Language Models (LLMs), Agentic AI, Advanced RAG, and modern AI frameworks. You will play a key role in architecting scalable AI applications, mentoring team members, and driving AI innovation from concept to production.

Key Responsibilities

• Design, develop, and deploy production-grade LLM-powered applications using Python.
• Architect and implement Agentic AI systems with multi-agent orchestration, tool calling, memory, and workflow automation.
• Design and optimize Advanced RAG pipelines using vector databases, hybrid search, and enterprise knowledge sources.
• Develop and integrate Model Context Protocol (MCP) servers and AI tool integrations.
• Build and optimize prompt engineering strategies, AI evaluations, and guardrails for enterprise use cases.
• Optimize token usage, latency, and cost for production AI applications.
• Integrate AI models using REST APIs, SDKs, and cloud AI services such as Azure OpenAI and Azure AI Foundry.
• Build AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, and LlamaIndex.
• Collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI solutions.
• Mentor junior engineers and contribute to AI best practices, architecture, and technical decision-making.
• Stay current with emerging GenAI technologies, frameworks, and industry trends.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 6–10 years of software development experience with at least 3 years in AI/ML or Generative AI.
• Strong proficiency in Python and API development.
• Hands-on experience with:
  • Large Language Models (LLMs)
  • Agentic AI and multi-agent frameworks
  • Advanced RAG architectures
  • Prompt Engineering
  • Embeddings, semantic search, and vector databases
  • Model Context Protocol (MCP)
• Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar frameworks.
• Experience with Azure OpenAI Service, Azure AI Foundry, OpenAI APIs, or equivalent cloud AI platforms.
• Strong understanding of token optimization, model evaluation, observability, and performance tuning.
• Excellent problem-solving, communication, and technical leadership skills.

Nice-to-Have

• Experience with Claude APIs, GitHub Copilot integrations, or enterprise AI copilots.
• Knowledge of fine-tuning, LLMOps, and MLOps.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Exposure to React, Streamlit, or Gradio for AI application development.
• Experience building enterprise-scale AI solutions on Azure or other cloud platforms.

What You'll Gain

• Opportunity to build enterprise-scale AI products using cutting-edge GenAI technologies.
• Hands-on experience with Agentic AI, MCP, Advanced RAG, and modern AI platforms.
• Collaborative, innovation-driven environment with opportunities to mentor and lead.
• Continuous learning and career growth while working on impactful AI solutions.