About the Role :

We are looking for an experienced AI Platform Engineer for our US InsurTech Client to build the Agentic Orchestration Layer powering next-generation intelligent insurance platforms.

This is a hands-on engineering role focused on building enterprise AI agents, multi-agent orchestration workflows, RAG pipelines, context and memory services, and AI tool integrations. You will work on production-grade AI systems integrated with enterprise applications and Guidewire services.

If you have solid hands-on experience building and deploying LLM-powered applications, Agentic AI systems, and enterprise RAG solutions, we would like to hear from you.

Roles & Responsibilities :

- Design and build multi-agent AI systems and orchestration workflows.
- Develop enterprise-grade RAG pipelines and context/memory services.
- Build AI tools, function calling, tool calling, and agent integrations.
- Integrate AI applications with enterprise APIs and Guidewire services.
- Create and maintain prompt libraries, evaluation frameworks, and AI guardrails.
- Optimize AI systems for latency, accuracy, reliability, and inference cost.
- Collaborate with Platform Engineering teams for production deployment and scalability.

Required Skills & Experience :

- Strong programming experience in Python.
- Hands-on experience with FastAPI, REST APIs, and asynchronous programming.




- Strong experience with one or more AI orchestration frameworks such as:
- LangGraph
- LangChain
- Semantic Kernel
- CrewAI / AutoGen

- Strong understanding and hands-on experience with:

- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector databases

- Experience with vector technologies such as Pinecone, OpenSearch, or FAISS.
- Hands-on exposure to Amazon Bedrock, AWS Lambda, API Gateway, and Step Functions.
- Experience in prompt engineering, tool calling, function calling, and structured outputs.
- Working knowledge of Git and Docker.

Nice to Have :

- Guidewire experience.
- Insurance domain knowledge.
- Knowledge Graphs / GraphRAG experience.
- AI Security and Governance experience.

What We Are Looking For

We are particularly interested in engineers who have built real-world, production-grade GenAI applications.

The ideal candidate should be able to demonstrate hands-on experience in areas such as:

- Building end-to-end RAG systems.
- Designing stateful or multi-agent workflows.
- Integrating LLMs with enterprise APIs and external tools.
- Implementing context and memory management.
- Deploying and optimizing AI applications for production environments.
- Improving AI application accuracy, latency, reliability, and cost efficiency.

Interested candidates who can join within 30 days or less are encouraged to apply.

📌 AI Platform Engineer (LLMs - Agentic AI - Orchestration - RAG) (Chennai)
🏢 Knowledge Foundry
📍 Chennai