Senior AI Engineer
Pune · Staff/Principal
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Job description
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.
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