AI Agent Engineer: Building Autonomous Systems
We are seeking an experienced AI Agent Engineer to join our team. In this role, you will design and implement multi-step AI Agents using agentic frameworks such as LangGraph, OpenAI SDK, or SmolAgent.
Key Responsibilities:
* Design and implement AI Agents that interact with third-party systems (web apps, APIs, documents) to complete insurance workflows autonomously.
* Architect robust workflows for agents that automate tasks such as form filling, web browsing, document analysis, and downstream workflow triggering.
* Optimize latency, cost, and performance across the agent lifecycle.
* Work closely with product and engineering teams to integrate agents into our platform.
* Create strong observability and debugging tools to ensure agent performance and accountability.
You Might Be a Fit If:
* You have shipped agent-based systems that go beyond chat UX, such as agents that fill forms, move through websites, analyze documents, or trigger downstream workflows.
* You are fluent in one or more of the agentic frameworks: LangGraph, SmolAgent, OpenAI SDK, Google ADK, etc.
* You are an excellent backend engineer who codes daily and owns systems end to end.
* You are obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
Bonus Points:
* Experience with RPA, Selenium, or building automation bots for web workflows.
* Background in insurance, fintech, or other compliance-heavy verticals.
* Contributions to open-source agentic frameworks or related tooling.
About the Role:
This is a unique opportunity to work on cutting-edge AI technology and build autonomous systems that can replace jobs, not just enhance them. You will solve real business problems, help agents generate revenue and reduce service costs, and leave your fingerprint on the core intelligence of our product.