Product Engineer (EU/UK Based - Remote)
Duvo Inc —London
- £110,000 - £250,000 a year
- Full-time
- Remote
- System design
- JavaScript
- APIs
Solutions Engineer | UK | Remote
Grafana Labs —Remote
- £99,000 - £124,000 a year
- Remote
- Communication skills
- Annual leave
11d
Data Engineer (EU/UK Based - Remote)
Duvo Inc —London
- £135,000 - £190,000 a year
- Full-time
- Remote
- AI
Platform Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
10x Team —London
- £84 - £150 an hour
- Remote
- AI
Quick apply
Cryptography Engineer
Lockheed Martin Corporation —Newcastle upon Tyne
- £72,500 - £90,000 a year
- Full-time
- University
- Employee assistance programme
- Employee discount
Machine Learning Engineer
Prima —Remote
- £70,000 - £105,000 a year
- Remote
- English
- AWS
- Machine learning
- Work from home
Quick apply
Staff AI Engineer - 2nd Horizon | UK | Remote
Grafana Labs —Remote
- £100,000 - £124,000 a year
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Software Engineer
Squid —London
- £75,000 - £200,000 a year
- Full-time
- APIs
- Python
Quick apply
Principal Software Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
10x Team —London
- £93 - £159 an hour
- Remote
- Software development
- AI
- SDLC
Quick apply
Design Engineer
NP Aerospace —Coventry
- £35,000 - £45,000 a year
- Full-time
- CAD
- Engineering
- No degree
- Annual leave
- Flexible schedule
Founding Engineer - Early Careers
Tracebit —London
- £50,000 - £70,000 a year
- Full-time
- Hybrid work
- Master's degree
Junior Quantitative Researcher
Durlston Partners —London
- Up to £125,000 a year
- Doctoral degree
- Master's degree
- Machine learning
Ground Integrated Project Team Engineer
Lockheed Martin Corporation —Havant
- £81,000 - £100,500 a year
- Full-time
- University
- Employee assistance programme
- Employee discount
AI Platform Engineer (EU/UK Based - Remote)
Duvo Inc —London
- £110,000 - £250,000 a year
- Full-time
- Remote
- System design
- APIs
- AI
PREMIER CAMBRIDGE CONSULTANCY: Structural Design Engineer
The Institution of Structural Engineers —Cambridge
- £32,000 - £40,000 a year
- Master's degree
- Work from home
Founding Engineer
Tracebit —London
- £70,000 - £130,000 a year
- Full-time
- Hybrid work
- Azure
- AWS
Associate Consultant (UK) - Entry-Level Technology Consulting (Life Sciences)
Veeva Systems —London
- £40,000 a year
- Full-time
- Hybrid work
- English
- Travel
- Communication skills
Mechanical Design Engineer
MBDA —Stevenage
- £35,000 - £50,000 a year
- Overtime
- Hybrid work
- CAD
- Engineering
- Travel
- Free parking
- Relocation assistance
Research and Development Engineer
MY SMART GROUP LTD —Manchester
- £40,000 - £65,000 a year
- Full-time
- System design
- Laboratory experience
- Programmable logic controllers
- Free parking
- Sick pay
Quick apply
13d
Design Engineer
NP Aerospace Limited —Coventry
- £35,000 - £45,000 a year
- Full-time
- CAD
- Engineering
- No degree
- Annual leave
- Flexible schedule

I want to receive the latest job alerts for physical design engineer cambridge, uk

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Product Engineer (EU/UK Based - Remote)

Duvo Inc
London

Apply Now

Job details

Full-time
£110,000 - £250,000 a year

Qualifications

Law
System design
JavaScript
PostgreSQL
APIs
AI
TypeScript

Full job description

Who we are

Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky.

We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers, but to win, we need exceptional talent. We stay humble, do the work, and let results speak.

What we are building

We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in.

Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors.

Velocity is our moat: ship fast, iterate faster, compound learning.

The role

You will own end-to-end product features—from user-facing UI to API to data to deployment. You're the kind of engineer who connects technical choices to customer outcomes and ships with high velocity under ambiguity.

Your unit of ownership: user-facing features and the systems behind them, delivered to production and measured against customer impact.

What we're looking for

These are non-negotiables. The things we'll specifically evaluate you on:

Shipping and ownership. You've repeatedly taken ambiguous requirements to production. You own the full stack of a feature (UI, API, data, deployment) and you don't wait for someone to tell you what to build next.
Product judgment. You can define MVP scope, pick the right metric to move, and kill work that isn't delivering value. You think about what the user needs, not just what's technically interesting.
AI comfort. You've worked alongside AI systems—at work or in side projects. You're comfortable building features that interact with LLM outputs (parsing agent responses, designing human-in-the-loop flows), but you won't be training models.
Strong sense of product quality. You care about the details of how a feature looks and feels, not just whether it works. You notice when something is off and you fix it.
Collaboration. You're low-ego and team-first. You give and receive direct and constructive feedback, align proactively with product and design, and unblock yourself and others.
Judgment in a fast-moving environment. You'll often define your own scope based on customer problems surfaced through product feedback and competitive gaps — then ship it within a week.

You might also

Have a strong sense for security and reliability in production systems.
Have scalable, distributed-system instincts—you've designed and operated systems that scale.
Have deep applied LLM experience—evaluation design, prompt engineering, safety controls, and cost optimization in production.
Have experience designing interfaces for AI-assisted workflows — confidence signals, human-in-the-loop interactions.

This is not for you if

You need significant hand-holding or aren't energized by figuring things out yourself.
You primarily want to work on infrastructure (see our SRE and AI Platform Engineer roles).

Our tech stack

TypeScript-first: Next.js, React, Tailwind, Fastify, Kysely (PostgreSQL), Zod
GCP
Latest AI primitives

You don't need to know all of these, but you should be excited to learn them quickly.

How we work

These are real tradeoffs we've made, not aspirations:

Initiative-driven. We organize around customer problems, not org charts. Problems surface through product feedback, competitive analysis, and direct customer conversations — then we prioritize, build, and ship weekly.
Customer-obsessed. We solve real problems, not hypothetical ones. Features that don't move customer metrics get cut.
Iterative by default. We ship small, learn fast, and never get attached to yesterday's code. This means things break sometimes — we fix forward.
AI-first leverage. We use AI to move faster and focus human time where it matters most. If a tool can do it, a person shouldn't.
Direct feedback. We give each other actionable feedback immediately. This can feel uncomfortable — we think that's worth it.
Autonomy with accountability. We trust people to make decisions and hold them to outcomes, not process.

What we offer

Unlimited AI budget. We don't just allow AI tools — we strongly encourage them. Want to try a new tool? Buy it. Want to automate part of your workflow? Do it.
Autonomy to do your best work. Want to meet someone to learn from? Set it up. Want a mentor? Go get one. Want to fly out to talk to an important customer? Just ask.
A real AI product with real customers. You're not building demos or internal tools. Enterprise customers use what you ship, and their feedback drives what you build next.
A sharp, motivated team that values ownership and candor.
Compensation 250.000,- CZK / month with a meaningful equity component. You can trade salary for additional equity if you prefer more upside.

How we hire

We respect your time and aim to move fast:

Discovery call with a senior teammember (online, 30 min). We'll talk about you, how you think and whether there's mutual fit.
Remote task (async, time-boxed, ~1 hour). Build a small product end-to-end. Not LeetCode.
Technical interview (online, ~1 hour). Meet the team. We'll go deeper on your experience, system design, product thinking, and collaboration. No trick questions — we want to see how you think and build.
On-site trial day (2 days). Ship something small to production with us and see how we work together. Fully compensated.

Compensation Range: €110K - €220K

Apply Now

Refine Your Search

physical design engineer cambridge, uk jobs

Product Engineer (EU/UK Based - Remote)

Solutions Engineer | UK | Remote

Data Engineer (EU/UK Based - Remote)

Platform Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote

Cryptography Engineer

Machine Learning Engineer

Staff AI Engineer - 2nd Horizon | UK | Remote

Software Engineer

Principal Software Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote

Design Engineer

Founding Engineer - Early Careers

Junior Quantitative Researcher

Ground Integrated Project Team Engineer

AI Platform Engineer (EU/UK Based - Remote)

PREMIER CAMBRIDGE CONSULTANCY: Structural Design Engineer

Founding Engineer

Associate Consultant (UK) - Entry-Level Technology Consulting (Life Sciences)

Mechanical Design Engineer

Research and Development Engineer

Design Engineer

I want to receive the latest job alerts for physical design engineer cambridge, uk

Related Searches

Explore jobs in more locations