Why this role exists
Our platform is used by engineers, and engineers judge infrastructure by how fast it stops confusing them.
We have a hard system underneath: graphs, real-time inference, agent behavior in production. Today, understanding it takes a conversation with us. That's a ceiling on how fast we grow. This role exists to remove it, by owning the surface where customers actually meet the product and making it obvious.
The role
You'll own product surface end to end: the interfaces, the APIs behind them, and the data models underneath.
The hard part isn't the CRUD. It's making genuinely complex system behavior legible and fast for the people using it. That takes taste as much as it takes engineering.
The split is roughly [60% frontend and API layer, 40% backend services]. You will not be handed a design file, and you will not be handed a spec. If you want to go deep on distributed systems and never touch a UI, this is the wrong role. If you can't hold your own on the backend either, it's also the wrong role.
We're small and senior. You'll pick the architecture, ship it, watch it in production, and fix what's wrong.
What you'll do
- Ship features across the whole stack. React and TypeScript on top, Python or Go underneath, real data models in between
- Talk to customers directly. Join calls, watch people use what you built, and ship against what you learn
- Sit with platform, data, and ML engineers to figure out what the system can do, then design a product experience around it
- Take things from idea to production, including the testing, deploys, monitoring, and the second version after you learn you got it wrong
- Sharpen the APIs, tooling, and UI patterns so the platform stops needing explanation
What success looks like
- First few weeks: You've shipped something real to production and sat in on a customer call
- First few months: You own a major surface of the product outright, and you're the person who decides how it's built
- Beyond: The platform is noticeably easier to understand than when you arrived, and you're raising the bar on how everyone here ships
What we're looking for
- You've shipped production software end to end and can point at something and say "I built that"
- You're strong on the backend (Python, Go, Java, or similar) and can build a real React/TypeScript app without waiting for a designer
- You have opinions about API design and data modeling, and can defend them
- You've operated things in the cloud (AWS, GCP, or Azure) and debugged them at 11pm
- You make pragmatic calls under ambiguity and know which tradeoffs are worth the argument
- You want to be near customers, not shielded from them
Why Join
- Meaningful equity. You're early. The scope and the upside both reflect that.
- The infrastructure layer for agentic AI is being built right now. Very few people get to work on a layer this foundational this early.
- Small, senior team. Your scope is as large as you're willing to make it.
- Real ownership of both architecture and product direction, not a ticket queue.
- Full benefits (medical, dental, vision, 401k). We sponsor H-1B visas and help with immigration.
Send us (what you've built: a repo, a product, a thing you shipped that you're proud of) at [email protected]. Tell us what was hard about it.
We value builders over résumés. If this role excites you but you don't check every box, apply anyway and show us the work.
Skills Required
- Shipped production software end-to-end and can point to work you built
- Strong backend skills (Python, Go, Java, or similar)
- Can build a real React/TypeScript frontend without waiting for a designer
- Opinionated about API design and data modeling; able to defend decisions
- Operated and debugged services in the cloud (AWS, GCP, or Azure), including late-night incident work
- Make pragmatic decisions under ambiguity and weigh tradeoffs effectively
- Willingness to work directly with customers (calls, user observation, iterate based on feedback)
- Experience with data-heavy or developer-facing products
- Experience with distributed systems
- Experience with ML-adjacent platforms or AI infrastructure
- Kubernetes experience
- Observability and performance engineering experience
What We Do
Zaimler is an AI infrastructure company that provides a platform for enterprise AI agents. It focuses on discovering domain knowledge, mapping relationships, and providing semantic understanding to enable autonomous agents to reason over fragmented enterprise data. Founded by industry veterans, the company aims to build the infrastructure layer for the agentic era, supporting real-time inference and precision at scale for enterprises in sectors like insurance, travel, and technology.
