Reasonable AI FDE

Forward Deployed Engineer (FDE)

  • Location San Francisco, California, United States
  • Type Full-time
  • Posted 2026-06-03

Original posting ↗ You apply on the company site — we never collect applications.

Extracted automatically from public job postings. Always verify details on the original posting before applying.

Hard requirements to check first

  • Clearance:not mentioned in the posting
  • Work auth:not mentioned in the posting

Skills

JavaRustAWS

Excerpt from the original posting

Reasonable is the applied AI research company building formal verification for super-human software development. 

Correctness guarantees for software developed by humans and machines are no longer impractical or prohibitively expensive. Code generated by AI can be provably correct, rather than plausibly functional. At Reasonable, we are doing the research, training the models, and developing the products required to make this a reality. Achieving this creates a new paradigm for high accountability software development and unlocks the full potential of AI for professional engineers. 

We’re a compact, talent-dense technical team, with deep domain expertise in machine learning, formal verification and mathematical models of program semantics. Join us to develop the next frontier of formal reasoning and software engineering.

Proof follows function.

The Role 

As a founding Forward Deployed Engineer (FDE), you will help shape how we solve problems for our partners, and set the patterns that will be inherited by the customer-facing hires that follow. Working alongside Ferenc and Craig, you’ll be at a design partner’s whiteboard as much as you’re in our codebase. The role is just as much discovery and translation as it is development and deployment. Your work will be instrumental in figuring out how formal verification should fit into the rapidly evolving stack and workflow of the most sophisticated engineering teams on the planet. 

You Will 

- Lead discovery by joining early customer meetings, owning technical scoping, and bringing research depth to prospective partner conversations
- Diagnose which of a prospective partner’s systems are fit for verification and proof of concept (POC) work. POCs must solve real and replicable problems.
- Design POCs and initial customer solutions with us, translating observations and requirements into tightly scoped deployments a small team can deliver rapidly
- Identify capability gaps which recur across partners and feed those signals directly into our research and development direction: what we train for, what we build
- Elicit real specifications from complex systems and world-class engineering teams. Build trust while translating between prospective partners and the frontier where AI meets formal verification
- Stay hands-on between partner conversations. You are a key member of technical staff, building alongside the wider team. This is a technical role, end to end.

We’re Looking For
- Time spent inside or close to…

→ Reasonable AI · Workable

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