AI Platform Engineer
First seen by Alion on Aug 18, 2026.
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 strong 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 :
1. LangGraph
2. LangChain
3. Semantic Kernel
4. CrewAI / AutoGen
- Strong understanding and hands-on experience with :
1. Large Language Models (LLMs)
2. Retrieval-Augmented Generation (RAG)
3. Embeddings
4. 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.
Skills
Machine Learning, Python, LangChain, AWS, FastAPI, Artificial Intelligence, RAG, API Integration