We are looking for an experienced AI Engineer to design, develop, and deploy advanced Agentic AI solutions that automate complex business processes. The ideal candidate will have strong expertise in LangGraph, LangChain, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures. You will work closely with cross-functional teams to build scalable, production-grade AI applications, develop intelligent workflows, optimize AI system performance, and contribute to enterprise AI governance and responsible AI practices. This role requires a solid software engineering foundation, hands-on experience with modern AI frameworks, and the ability to deliver robust AI solutions in a fast-paced environment.

Key Responsibilities
- Design, develop, and implement agentic AI solutions using LangGraph and LangChain.
- Build and manage multi-step AI workflows with tool integration, memory management, routing, and guardrails.
- Integrate and operationalize LLMs using AWS Bedrock, OpenAI, Azure OpenAI, or similar platforms.
- Develop prompt engineering strategies,



orchestration frameworks, evaluation systems, and optimization techniques.
- Architect and implement multi-agent systems using planner, executor, critic, and reflection patterns.
- Design and deploy scalable RAG pipelines, including embeddings, vector databases, retrieval tuning, and citation generation.
- Develop backend services and APIs using Python and FastAPI.
- Ensure application reliability through testing, code reviews, CI/CD pipelines, and performance monitoring.
- Collaborate with product, engineering, and business teams to deliver AI-powered solutions.
- Implement AI governance, security controls, and responsible AI best practices.
- Optimize AI system scalability, performance, and operational efficiency.
- Support cloud-native AI deployments and enterprise-scale AI initiatives.

Key Skills and Qualifications
- 6–10 years of experience in AI/ML Engineering, Software Developmen

📌 AI Engineer (Pune)
🏢 gts
📍 Pune