Senior AI Engineer

Role: Senior AI Engineer

Location: Pune India

About the Role

We are looking for an experiencedSenior 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

• Bachelors or Masters degree in Computer Science AI Data Science or a related field.
• 610 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 Youll 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.

Required Experience:

Senior IC