Careers
Build AI where the work happens.
Join engineers who work directly with operators and own systems from the first workflow audit through production. Small team, senior people, real operations.
How we work
What the job asks of you
- Own the problem
- Work from business reality, not tickets stripped of context.
- Work close to operations
- Understand how the process actually runs before deciding what to build.
- Ship production
- Success is a system working reliably in the business, not a demo.
- Use judgement
- AI where it belongs. Deterministic systems where they are better.
Open roles
Five seats, two teams
Every role works with clients directly. None of them is a back-office seat.
Engineering
Forward Deployed Engineer
Embed in a client team and own one agentic system from the first workflow audit to the day it runs without you.
Remote, EuropeFull-time4+ years
AI Engineer, Agentic Systems
Build the orchestration, memory and tool layers every deployed system is assembled from, plus the cost guardrails that keep autonomy accountable.
Remote, Europe or AsiaFull-time3+ years
AI Evaluation and Reliability Engineer
Prove a system still works a month after launch, when the model changed, the data drifted and nobody has read a trace in weeks.
Remote, EuropeFull-time3+ years
Full-Stack Engineer, AI Product Surfaces
Build the screen a human meets the agent through: review queues, approval flows and trace views that make a decision legible to an operator.
Remote, AsiaFull-time3+ years
We are hiring across engineering and delivery through 2026. If you are close on a role but not an exact match, apply anyway and tell us which part you would grow into.
Hiring process
Five steps, no recruiter
01
Application
Tell us what you have built and where you want to go next. We read every application ourselves. Expect a reply either way within a week.
02
Intro call
30 minutes with our engineers, not a recruiter. We talk through your work and you get honest answers about how we operate.
03
Technical conversation
60 to 90 minutes on scenario-based problems to understand your judgement, system design, and how you reason through trade-offs.
04
Working session
A paid half-day on a scoped piece of work with the people you would actually be working with. It goes both ways: you get to see how we run before you commit.
05
Offer
Compensation is benchmarked to your market and reviewed annually. We make the offer and the reasoning behind it clear in one conversation.
What you get
The practical side
- Remote-first, with genuinely flexible hours across European and Asian time zones
- Direct client exposure from your first engagement, not after two years of internal work
- Budget for conferences, courses, and the model providers you need to stay current
- A senior engineer paired with you for your first two engagements
- Paid time to write. Several of the pieces on our blog started as internal engagement notes
- Outcome-driven culture. We measure what shipped, not hours logged