AI Engineer - NYC

- Our AI infrastructure . We process over a billion dollars a year through Sequence so correctness is table-stakes. You'll build and own the platform that allows us to build reliable software on top of non-deterministic models, including agentic workflows, prompt iteration, tools, and evals.

- An intelligent collections agent. Chasing late payments is tedious, manual work. We're building an agent you instruct in natural language ("send a reminder at 7 days overdue; escalate at 14 days"), which then runs the entire workflow and collects the relevant context autonomously.

We're looking for product engineers who live in this space. You have informed views on which tool to reach for and when. You've built side projects to see what's possible.

You take AI security seriously - you've scrutinized the threat vectors and you treat models as untrusted by default.

- You've shipped LLM-based systems to real customers and have first-hand experience with how they fail in production

- You've designed agentic systems and have informed views on the building blocks (like embeddings, memory, tool use, long-running state, recovery from partial failures) and when to reach for each

- You've built evals infrastructure (like datasets, LLM as judge, prompt regression tests, monitoring) and have a clear view of what good looks like

- You respect the weight of building business-critical systems on top of non-deterministic models and are comfortable writing resilient software

- You have informed opinions about the tooling for building, evaluating, and securely running multi-provider AI systems in production

- Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k),