Founding Applied AI/Systems Engineer
Do you build agents that take real actions in live systems, where reliability and recovery matter more than perfect demos?
Do you want to work close to the metal, deep systems, infrastructure as code, bot and scraping platforms, and low level video streaming?
// ABOUT_US
About us
We're an early-stage startup built on a simple belief: game developers should be building worlds, not chasing bugs.
We're replacing manual QA with autonomous agents that truly understand gameplay.
Our small, focused team combines deep machine learning research with strong commercial execution, driven to solve some of the hardest problems in game development.
Just over a year in, we've built category-leading technology, gained real traction, and partnered with some of the world's most storied game studios.
We're backed by top-tier investors and incubators, including SVV and EWOR.
// THE_ROLE
The role
We are looking for a Founding Applied ML Engineer to own the moment where our models stop predicting and start acting in real games. You'll be the person who takes the multi-modal model and turns it into reliable agents that tap, swipe, navigate, and verify flows across real devices; Android, iOS, PC.
This role sits at the intersection of ML, automation, and systems engineering: you'll design how bots observe the screen, decide what to do next, and recover when the real world doesn't behave like a demo. If you want your work to live in production, catch real bugs, and influence how an entire industry tests games, this is the seat.
// RESPONSIBILITIES
Key responsibilities
- 01
Design End-to-End Game Agents
Build systems that connect perception (pixels, UI, simple state) to concrete actions (taps, swipes, clicks), so agents can reliably drive real games on mobile and desktop.
- 02
Build Cross-Device Automation
Develop mechanisms to replay complex user flows across a wide range of devices, OS versions, and aspect ratios without relying on brittle coordinates or hard-coded timings.
- 03
Automate Critical User Journeys
Turn core flows; tutorials, core loops, purchases, and other high-value behaviors, into repeatable automated tests that can run on every build or on demand.
- 04
Harden Agents for Production
Instrument, debug, and improve reliability under real-world conditions (slow networks, inconsistent load times, flaky SDKs), and own the quality bar until QA teams trust running these unsupervised.
- 05
Own the Production Standard
Create and maintain internal eval suites that measure what actually matters.
- 06
Collaborate with Customers
Work with QA and engineering leads at game studios to understand their workflows, prioritize what to automate next, and incorporate their feedback into the roadmap.
// FIT
You're a good fit if you...
You've built vision driven or multimodal agents using video, not just text or images, with a strong computer vision foundation across models. You're hands on with vision agents and VLMs such as LLaVA, CLIP, and Flamingo, and you've applied them in messy, real world environments like automation, robotics, autonomy, AV, or complex UI driven systems. You're comfortable working closely with QA and testing leads, and you've done this in an AI product startup, ideally at the zero to one stage.
Build things that actually touch the real world
You've shipped non-trivial automation in messy environments; mobile apps, UI automation, robotics, browser automation, device farms, where timing, state, and flakiness were real problems you had to engineer around, not hand-wave away.
Think in loops, not scripts
You're more interested in building agents that observe → decide → act → recover than recording click macros. You know how to combine simple perception (what's on screen) with control logic (what to do next) so systems stay robust when UIs, timings, or devices change.
Care obsessively about reliability
You've owned a system where other teams depended on your automation, and you felt the pain when it was flaky. You instrument, log, and debug until it's something you'd trust to run overnight without babysitting.
Like talking to users as much as to your IDE
You're comfortable jumping on calls with QA / engineering leads, asking blunt questions about their workflows, and turning vague complaints ("this flow keeps breaking") into concrete automation that saves them time.
Bonus: You enjoy games or complex interactive systems
You don't have to be a hardcore gamer, but you're genuinely curious about how interactive experiences are built, broken, and tested; and you like the idea of agents learning to navigate them.
// OFFER
What's on offer
Salary
Competitive salary.
Perks
High trust, high impact: ship real product fast, work directly with founders.
Equity
Meaningful equity ownership. You'll share in the upside you help create.
Benefits
Flexible hours, and a culture built on trust and output.
Get on board. Apply now.
Think you have the skill and drive to thrive in this role? We can’t wait to meet you and get a taste of your work.
Apply