We are seeking a seasoned AI Agent Engineer to design and implement state-of-the-art multi-step agents using agentic frameworks. The successful candidate will own the architecture, design, and implementation of AI Agents that interact with third-party systems to complete insurance workflows autonomously.
Key Responsibilities:
* Design and implement multi-step AI Agents using agentic frameworks such as LangGraph, OpenAI SDK/Swarm, Google ADK, etc.
* Architect robust workflows for agents that interact with browser automation, APIs, LLMs, PDFs, and CRMs.
* Optimize latency, cost, and performance across the agent lifecycle.
* Work closely with product and engineering teams to integrate agents into our core platform.
* Create strong observability and debugging tools to ensure agent performance and accountability.
* Handle prompt engineering, function-calling, memory, tool creation, and multi-agent orchestration.
The ideal candidate will be an excellent backend engineer who codes daily and owns systems end-to-end. They will have experience working with LLMs via API and understand when to use LLMs versus deterministic logic and how to blend both.
In this role, you'll have the opportunity to solve real business problems, help agents generate revenue and reduce service costs, and leave your fingerprint on the core intelligence of our product.
About the Role:
This is an exciting opportunity for a highly motivated and experienced AI Agent Engineer to join our mission-driven team. You'll be working on the ground floor of a rapidly growing AI startup building AI agents that replace jobs, not just enhance them.
If you're ready to do the most meaningful work of your career, we want to hear from you. Apply only if you're ready to build AI that does the job – not just chat about it.