AI Engineer

Founding AI Engineer

Remote | Early-stage startup | Equity-oriented opportunity

Zavvis is building a a financial observability layer that gives corporate finance teams continuous visibility into their financial operations. Inspired by how engineering observability transformed monitoring of complex systems, Zavvis applies similar principles to financial data to reveal causality and control across transactions.

We are looking for a strong AI Engineer to join the founding team and help us harden, improve and ship the AI capabilities of the product.

What you’ll work on

• Building and improving production AI/LLM features
• Making conversational and agentic workflows more reliable
• Improving reasoning, context handling, tool use and structured outputs
• Testing and evaluating AI behavior systematically
• Integrating AI components with our backend, data and product systems
• Debugging edge cases and improving production reliability
• Working closely with the founder and technical team to ship quickly

What we’re looking for

• Strong Python experience
• Hands-on experience building applications with LLMs
• Experience with OpenAI / Azure OpenAI or similar models
• Familiarity with agent frameworks, tool/function calling and structured outputs
• Experience with APIs, backend systems and production AI applications
• Strong debugging and problem-solving skills
• Comfortable working in a fast-moving early-stage environment

Experience with LangGraph, FastAPI, Pydantic, Azure or financial applications is a plus, but not required.

We care much more about what you can build and ship than titles or years of experience.

Stage & opportunity

Zavvis is currently bootstrapped and preparing for pilots while raising outside capital. We are not yet in a position to offer a conventional salary for this role. We are looking for someone interested in joining at the founding-team stage, with an ownership/equity-oriented structure and the intention to transition to paid compensation as funding or customer revenue comes in.

We would use the first month as an intensive working period to evaluate execution, ownership and long-term fit, with the opportunity to agree on a meaningful ongoing role and equity participation.

We are moving quickly and want someone who can join the current sprint and help us reach our product and commercial milestones before the end of Q4.

If interested, send me a message with your background and, ideally, something you have built using LLMs or agentic AI.