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 :

1. Large Language Models (LLMs)

2. Agentic AI and multi-agent frameworks

3. Advanced RAG architectures

4. Prompt Engineering

5. Embeddings, semantic search, and vector databases

6. 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.