Go to the front line
Most engineers' code stops in staging. At MatrixLabs, your systems run in bank risk-control rooms, on semiconductor lines, in hospital clinics. There are no spectators here — only people bringing AI into the real world.
Why here
Real stakes
You're not building toys — you're building production systems enterprises rely on daily, where errors and impact are both real.
Steep growth
A new industry and problem domain every quarter. FDE is the fastest-growing engineering role there is.
Exceptional peers
Work alongside engineers from top tech companies and AI labs — the bar is set by the best.
Visible impact
You can name every dollar your system saves a client and every hour it gives back.
What kind of person
makes a great FDE?
An FDE is neither a traditional software engineer nor a consultant. On Monday you understand the risk director's business language; on Wednesday you ship production code against core systems; on Friday you demo to front-line users — and take their most honest feedback.
- Solid engineering depth in backend, data or ML
- Genuine curiosity for business problems and unfamiliar domains
- Able to talk with the CEO and the line operator in their own languages
- Comfortable with ambiguity and change: the field is always messier than the plan
- Proud of outcomes, not tech stacks
Open roles
Embed at client sites and own delivery end to end, from scenario definition to production launch. This is the core role at MatrixLabs.
- Embed on site to understand workflows and define high-value AI scenarios
- Build agent workflows and data integrations on Matrix OS
- Own evals, launch and handover to production operations
- Bonus: finance / manufacturing / healthcare experience; full-stack range
Build Matrix OS itself: the connector framework, agent runtime, eval infrastructure and on-prem deployment toolchain.
- Design a highly reliable agent runtime and workflow engine
- Build the unified data framework behind 150+ connectors
- Polish the air-gapped deployment and upgrade experience
- Bonus: Kubernetes, streaming systems, LLM inference optimization
Design end-to-end solutions for complex enterprise environments: integration paths, security architecture and compliance strategy — the pod's technical anchor.
- Lead enterprise architecture design and technology selection
- Hold the architectural line on security, compliance and performance
- Build long-term trust with client technical leadership
- Bonus: large-scale integration, regulated-industry architecture
Design AI experiences for serious enterprise settings — systems that risk analysts, line engineers and physicians choose to use every day.
- Design the Matrix OS workspace and industry application UIs
- Go into the field with FDEs and observe real users
- Build the design system for enterprise AI products
- Bonus: complex B2B systems, data-dense interfaces
A two-week hiring process
Resume & work
A reply within three working days — we take every application seriously.
Technical deep dive
90 minutes on the system you're proudest of, pushed to the edge of your comfort zone.
Practical exercise
A scenario from a real delivery — we watch how you decompose an ambiguous problem.
Culture round + offer
Face to face with the founding team; offers go out within a week of passing.