At a Glance
- Tasks: Shape solutions for partners and lead discovery in cutting-edge AI verification.
- Company: Join a pioneering AI research company focused on formal verification.
- Benefits: Generous salary, equity, and flexible work locations in SF or London.
- Other info: Work with a world-class team and enjoy rapid career growth.
- Why this job: Be at the forefront of AI and software engineering innovation.
- Qualifications: Experience in high-accountability engineering cultures and familiarity with systems languages.
The predicted salary is between 80000 - 100000 £ per year.
Reasonable is the applied AI research company building formal verification for post-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.
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.
Requirements
We're Looking For
- Time spent inside or close to a high-accountability engineering culture in the mould of a Stripe, Cloudflare, AWS, Datadog, MongoDB or similar; you understand the value of correctness and verification.
- Familiarity with systems languages like Rust, JVM languages like Java/Kotlin, or cloud-native languages like Go.
- Domain expertise in formal methods or verification, either from research or from practical application.
- An understanding of specification-aware programming (Verus, Dafny, Viper), proof assistants and verification tools (TLA+, Lean, Roq, Isabelle).
- Experience building relationships with senior engineers and CTOs.
- Genuine interest in the commercial side of our work.
- Comfort with and excitement about the early-stage version of this work: consistently world-class output, despite ambiguity, hands-on scrappiness, and rapid iteration.
Bonus Points If You
- Actively contribute to formal verification or program synthesis projects: Verus, Lean, Dafny, or similar.
- Have run production back-end services at scale; you've felt the pain of what testing can't prove.
- Have been accountable for distributed systems; you respect the failure modes that emerge from concurrency, consensus, and partial failure.
This is an unusual profile. If that's you, get in touch. If you are close to it, we still want to hear from you! If you know someone that would be ideal, we always reward great introductions.
Benefits
- Compensation: Generous salary, with equity and additional benefits.
- Location: San Francisco or London, with flexibility for customer and team travel - expect to be in-person frequently with Craig (SF, London) and Ferenc (Budapest, London).
- Visa sponsorship: available in both geographies for the perfect candidate.
- World-class team and environment: an opportunity to build alongside deeply experienced founders, in a well-funded company that's backed by industry leading VCs and angels including Oriol Vinyals, Zoubin Ghahramani, Jonathan Frankle and Guy Podjarny, amongst many others.
Forward Deployed Engineer (FDE) in London employer: Reasonable AI
At Reasonable, we pride ourselves on being an exceptional employer, offering a unique opportunity to work at the forefront of applied AI research in either San Francisco or London. Our compact, talent-dense team fosters a collaborative and innovative work culture, where employees are encouraged to grow through hands-on experience and direct engagement with industry leaders. With generous compensation, equity options, and the chance to shape the future of formal verification, joining us means becoming part of a world-class environment dedicated to meaningful and impactful software development.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (FDE) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Reasonable AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Reasonable AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Reasonable AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Reasonable AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer (FDE) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Reasonable AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Reasonable AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Reasonable AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Reasonable AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.