AI Agent Engineer
This is a unique opportunity to work on building and implementing AI Agents that can interact with third-party systems, web applications, APIs, documents, and more. As an AI Agent Engineer at our company, you will be responsible for designing and implementing multi-step workflows using agentic frameworks such as LangGraph, OpenAI SDK/Swarm, Google ADK, etc.
The ideal candidate will have experience in shipping agent-based systems that go beyond chat UX, and will be fluent in one or more of the agentic frameworks mentioned above. They will also be excellent backend engineers who code daily and own systems end-to-end.
About Us
We are a rapidly growing AI startup building AI agents that replace jobs, not just enhance them. Our mission is to automate marketing, sales, and service workflows of insurance agencies with AI Agents that do the work start to finish. We are looking for talented individuals who share our vision and are passionate about building innovative solutions.
We offer a collaborative and innovative work environment, flexible PTO for any reason, personal laptop, health and wellness package, and budget for English lessons. If you're ready to build AI that does the job, not just chat about it, we want to hear from you.
Key Responsibilities:
* Design and implement multi-step AI Agents using agentic frameworks.
* 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.
You Might Be a Fit If:
* You've shipped agent-based systems that go beyond chat UX.
* You're fluent in one or more of the agentic frameworks: LangGraph, SmolAgent, OpenAI SDK, Google ADK, CrewAI, etc.
* You are an excellent backend engineer who codes daily and owns systems end to end.
* You're obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
* You've worked with LLMs via API (OpenAI, Anthropic, Claude, Mistral, or fine-tuned models).
* You understand when to use LLMs vs deterministic logic and how to blend both.
* You're deeply organized, low ego, and can lead through action and collaboration.
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.
* Knowledge of DevOps and production monitoring for AI services.