About Luma
A new class of intelligence is emerging—systems that understand and generate the world across video, images, audio, and language. Building multimodal AGI is not just a research problem; it’s a full‑stack engineering problem, spanning training systems, inference, product architecture, and the tight feedback loops between them. When a new technological wave begins, the highest leverage place to be is at the foundation, not at a startup wrapping someone else’s API. The frontier is not incremental improvement; these models are replacing entire categories of software and enabling entirely new ones.
Where You Come In
Forward Deployed Engineers turn what our models can do into things customers actually rely on. You embed with a customer, learn their workflow, define the problem with them, and build the system that solves it—using production code, their data, and their constraints. You own the relationship and the code. When something is missing in our platform, you build around it. When the same gap shows up across customers, you work with R&D to turn that pattern into product. This is engineering at the edge, where ambiguity is the default and what should we build is yours to answer.
- A technical founder—built product, talked to first customers, made the calls, and shipped. You miss the pace and the autonomy more than you miss running a company.
- An engineer who became the customer’s engineer—flying out, sitting in their office, and rebuilding their workflow because the standard product didn’t fit.
- A consultant or architect who codes for real—did more than diagram; you wrote the system.
- A builder with a customer instinct—strong technical foundation, real user projects, and a pattern of identifying problems and moving on without waiting.
What You’ll Do
- Work directly with customers to understand their workflows, constraints, and goals.
- Define the problem—there is no PRD waiting for you.
- Build production systems on Luma’s APIs, models, and internal tools.
- Prototype, ship, iterate, and maintain systems that customers depend on in real environments with real data.
- Own projects end-to-end, from first conversation to deployed system.
- Identify patterns worth productizing and feed them back to platform and R&D.
Raise the Bar
While FDEs leverage AI to accelerate implementation, the core of the role is engineering judgment—knowing what to build, how to structure it, and how to make it work reliably in messy real-world environments. Breadth, product intuition, and customer empathy matter more here than narrow specialization. We are not looking for unicorns; we want builders who can hold all three.
Who You Are
- Bachelor’s degree in Computer Science or equivalent practical experience.
- 2+ years of professional software engineering experience.
- Strong proficiency in at least one general-purpose language (Python, TypeScript, Go, or similar).
- Experience building and shipping software end-to-end.
- Ability to work across the stack and learn unfamiliar systems quickly.
- Ability and interest to travel as needed to client sites.
What Sets You Apart
- A track record of shipping real systems with real users, not just completing assigned tasks.
- High agency and strong prioritization skills—you can figure out the core problem and move.
- Comfort defining your own path when there isn’t one.
- Evidence of working directly with customers or users and translating what you heard into what you built.
- Clear communication, including explaining a technical decision to a non-technical stakeholder.
Compensation
The base pay range for this role is €130,000 – €215,000 per year.
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