Founding Full Stack Engineer - AI
Location: London, United Kingdom (Hybrid)
Salary: Actually competitive. We want the top 0.1% and we’re willing to pay for it.
Equity: Meaningful founding stake
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Bench is building the Cursor for hardware design, starting with Robotics and Aerospace.
This isn’t a job for everyone. We’re after the top 0.1% of mission-driven builders. More than anything, we care about hunger, passion for this problem space and your track record of exceptional achievement.
We’re building a category-defining company from first principles. The kind of product that will reshape how engineering teams work - and a journey you’ll look back on as the most intense, creative, and career-defining chapter of your life.
It’ll be hard. You’ll move fast, take ownership, and ship real things that matter - alongside a small team of obsessive builders who hold themselves to a high bar.
If the above excites you, read on!
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Bench - The Mission
Building hardware is still painfully slow - repetitive workflows, disconnected tools, and endless manual iteration.
We’re building the platform that changes that. Bench gives hardware engineers what software teams have had for years: a fast, flexible, AI-native stack that automates the boring parts and supercharges the creative ones.
Bench is a collaborative, version-controlled system where AI agents help engineers plan, build, and run tools and workflows securely and at scale. We’re building it from first principles to support complex design, simulation, and iteration workflows across robotics, aerospace, and beyond.
The mission is simple: make hardware development 10x faster - and unlock the next generation of physical innovation.
This is a generational opportunity. We’re well funded, agile and shipping fast - and the engineers who join now will be able to truly shape our trajectory.
The Role
Focus: Designing, building, and refining the core AI agents and orchestration logic that automate hardware engineering tasks.
You’ll own the architecture and development of Bench’s internal AI agents, starting with our Planner and Synthesiser agents. These systems take high-level engineering prompts and turn them into executable workflows, dynamically generating plans, synthesising tools, and learning from execution feedback.
What You’ll Own
Building and orchestrating LLM-based agents that plan and execute complex engineering workflows, manage engineering data and craft custom tools.
Building workflow infrastructure using LangGraph or similar frameworks, integrating tool discovery via RAG.
Designing agent evaluation strategies using real-world execution data and human-in-the-loop signals.
Requirements
You don’t need 100% of the below. More than anything, we care about hunger, passion for this problem space and your track record of exceptional achievement.
1-3 YOE in AI/ML or LLM-based development in a fast-paced startup environment.
Built and deployed production-grade agentic systems - ideally ones that automated complex, multi-step workflows.
Hands-on experience with LangChain, LangGraph, or similar agent orchestration tools.
Strong understanding of LLM evaluation, prompt design, and techniques for tuning models to domain-specific tasks.
A first-principles mindset and excitement to architect our core AI systems from scratch.
Full-stack capability - you can own a feature end-to-end, from API to infrastructure to evaluation.
You're an AI-native developer - you already use Cursor, Copilot, or similar tools to think, code, and iterate faster, and you're eager to push those tools to their limits.
Bonus Round:
Background in mechanical, electrical, or aerospace engineering, or direct experience with CAD/CAE tools like Onshape, Ansys, or SimScale.
Built or contributed to real-world agentic systems involving dynamic planning or multistep execution.
Why Join Us
A rare opportunity to build software for hardware - unlike dev tools, software for hardware rarely evolves. We’re one of the few teams in the UK where you can combine your software skills and passion for hardware design.
Early movers in a new category - this is a generational opportunity to define how AI transforms engineering, and build the foundation for a new category at the intersection of AI and hardware development.
Agile, high-agency environment - you’ll work directly with the founders in a fast-moving team, with real ownership, fast feedback loops, and the chance to shape core product decisions.
Meaningful equity - as an early team member, you’ll have significant participation in the upside.
The Funding
We’ve raised a £1M pre-seed round led by SuperSeed and with participation from 7 other investors, including EWOR - a top European accelerator with a 0.1% acceptance rate. We have the support, connections and resources to move fast and think big.
We currently share portfolios with companies like AI Build, Magic.dev and GATE Space.
The Founders
In this role, you’ll work very closely with both of the founders - you’ll be reporting to Raihaan.
Raihaan Usman, CTO - Aerospace Engineer, previously Engineering Lead at Imperial’s Karman Space Programme, an academic team of 50+ engineers aiming to be the first academic team to launch a reusable rocket into space. Shipped software patches to a live satellite at ESA.
Martin Bielicki, CEO - Mechanical Engineer, previously founded and led Hyperlink, a team of 100+ engineers that designed and built London’s first Hyperloop Pod. Founded companies in e-commerce and digital marketing and worked in venture building.
Compensation
Competitive (but actually - we want the top 0.1% and we’re willing to pay for it).
Meaningful equity stake.
The Interview Process
Submit your CV and answer the 2 application questions.
30 Minute Screening Call with Martin.
Short take-home technical task.
60-minute technical interview with Raihaan.
Last stage, culture fit dinner / office half day / interview with Martin and Raihaan.
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