AI Forward Deployed Engineer

Most “AI agent” roles right now are a slide deck and a vague vision. This one gives you real clients, real financial processes, and real decisions to make from day one.

About Trubrics

We’re working with Trubrics, who build AI agents that solve real problems for real estate finance teams - automating the invoicing and payments work that currently eats up their time. They’re backed by Pi Labs, live with enterprise clients already, and growing fast.

They didn’t start here. They began by building tools to help companies evaluate their own machine learning models, before repositioning hard into agentic AI for real estate finance. That pivot is working, and they need two more people to help them build on it.

How they work

They care most about ownership - even their most junior people are expected to take real responsibility for their work, not wait to be told what to do. Beyond that, they’re not into corporate performance, so come as you are. They’re collaborative and straightforward with each other, and they expect the same back.

They prioritise by what actually moves the needle for clients, not what looks good on a roadmap - every pilot they’ve run so far has converted into a paying deployment, which says a lot about how they operate.

The role

You’ll be their second or third Forward Deployed Engineer, joining their first FDE hire, who’s been doing this since earlier this year and can show you the ropes.

This isn’t a role behind a product team, shipping features into a queue. You’ll be embedded with real clients, building and deploying agents that solve their actual invoicing and payments problems, and staying close enough to see whether what you’ve built actually holds up in practice.

Early on, that looks like:

• Maintaining and improving agents already live with clients - fixing bugs, incorporating feedback, learning how the systems actually get used
• Getting properly under the hood of their stack: Python, GCP, Temporal for workflow orchestration, and the OpenAI Agents SDK across OpenAI and Anthropic models

As you build trust and experience, that grows into:

• Owning delivery and enhancement work independently
• Sitting in client workshops and leading implementation conversations
• Eventually running full engagements for new clients from scratch - discovery, scoping, design, deployment

• Demonstrated curiosity of how far to push AI coding - you are constantly asking yourself how much dev you should delegate to Claude Code
• Solid early-career experience as a software or ML engineer - you’ve already shipped real, production code, even if you’re not chasing a senior title yet
• Real, demonstrable interest in building with AI - side projects and self-directed learning count, you don’t need professional agentic AI experience
• Comfort with ambiguity - they don’t have every process defined yet, and they’re not looking for someone who needs that before they can act
• The ability to explain what you’re building to people who aren’t engineers - their clients are finance teams, not developers
• Genuine curiosity about the commercial side of what you’re building, not just the technical challenge

You don’t need to have worked at an AI-native company before. That’s exactly the kind of profile that’s worked well for them already, and it’s who they’re looking for again. But if you have got that experience and you’re still keen, they’d love to hear from you too!

• £60,000-£70,000 depending on experience, plus equity - a Share Option Pool is already in place
• Direct, hands-on time with both founders - Joel on the commercial side, Jeff on the technical side - through onboarding and beyond
• A real say in how things get done. You’d be hire two or three at a company about to reach six people - a lot of “how they work” is still being shaped
• A genuine path forward - strong performers can expect to grow into Senior FDE, and beyond that, into leadership as the team scales