Full-stack Engineer

Neurolabs; City of Edinburgh; On-site; GBP 75,000 - 100,000; Full time

Benefits offered by this job

Open salary structure

Equity options (EMI)

Pension

Perks at Work

Cycle to Work

Holiday purchase

25 days leave

Company socials

Private medical insurance

Job summary

Neurolabs in the UK seeks a Full Stack Engineer who owns features across the stack—from data layer to UI—and sees them through to production. The role focuses on breadth, with backend depth and AI fluency to unify components.

You’ll partner with the Head of Engineering on architecture, build reliable integrations, and own the CI/CD pipeline. Expect quarterly travel to our London office and weekly trips to Edinburgh.

Qualifications

• Around four years’ equivalent experience building and shipping software as part of an engineering team.
• Experience in a start-up or small engineering team, close to the whole product.
• Owned end-to-end projects across the full stack, production-ready.
• Recent experience using AI tools to drive a project end to end.

Responsibilities

• Full stack feature development from backend to frontend.
• Build and maintain integrations between platform and internal services.
• Own CI/CD pipeline and deployments.
• Collaborate with delivery and ML teams to connect requirements to working solutions.
• Turn requirements into reliable software and production-ready releases.

Skills

Python backend development

Async programming

REST API design

PostgreSQL/SQL

React & TypeScript

AI fluency

Distributed systems

GraphQL (frontend/backend)

AI tools experience

Tools

FastAPI

SQLAlchemy

GraphQL (Strawberry)

Apollo

Job description

Help us build the future of real-time retail execution

We're the Execution Intelligence platform for CPG brands, and we're looking for a Full Stack Engineer who takes ownership of their work, from picking up a ticket to seeing the change running in production. You'll build on the systems we already have, backend through to front end, and own your work through to deployment.

This is a mid-level role with real breadth. Your depth is in the backend, and you want to grow across front end and deployment rather than specialise. AI fluency is what makes that breadth workable. Our Head of Engineering owns the architecture and system design, so you have a system to learn from and someone to learn it with.

Why this role matters

Customers experience our product as a whole. They don't see the boundaries between backend systems, APIs and interfaces. They see whether something works, whether it solves their problem and whether they can rely on it. That reliability is what wins new customers and what keeps the ones we have.

With our strong backend depth existing in the team, what we need alongside it is someone who works across the stack, connecting the underlying technology to what customers actually interact with, and takes it through to production.

Your mission: get working software into customers' hands and keep it reliable, so what we promise and what we deliver are the same thing.

What you'll do

• Full stack implementation
  
  
  
  • You build and maintain features across the stack, backend through to front end.
  
  
  • You implement against the existing architecture and system design, test your work and see it running.
  
  
  • You own the whole feature, from the data layer through to what the user interacts with.
  
  
  
  


• Integrations and backend connections
  
  
  
  • You build and maintain the connections between our platform, our internal services and customer systems.
  
  
  • When data is not flowing or an integration is failing, you investigate it, trace it across services, fix it and deploy the fix.
  
  
  • You work directly with our delivery and machine learning teams to turn what they need into a working connection.
  
  
  
  


• Deployment and release pipeline (CI/CD)
  
  
  
  • You own the CI/CD pipeline your work runs through, keeping the route from commit to production reliable, and you deploy your own changes.
  
  
  
  


• AI automation
  
  
  
  • You own how AI is used to improve your delivery, building automation into your own workflow and extending it to the engineering work around you.
  
  
  
  

You’ll also be expected to undertake additional tasks as requested by the Head of Engineering.

Background and experience

Essential

• Around four years’ equivalent experience building and shipping software as part of an engineering team.


• Experience in a start-up or small engineering team of fewer than ten people, where you have worked close to the whole product rather than one narrow area.


• You have owned at least one project front to back across the full stack, from first commit to running in production. Two or more is a strong signal.


• Recent experience using AI tools to drive a project end to end.

Desirable

• You have designed a web system yourself, rather than only worked within one someone else designed.

Technical skills

Essential

• Python backend development, including async paradigm.


• REST API design - FastAPI, or a comparable Python framework.


• PostgreSQL and relational database design - SQLAlchemy, or equivalent ORM experience.


• Understanding of web system design principles and how components fit together.


• React and TypeScript, enough to connect front end to backend and carry a feature through. Front-end specialist depth is not expected.


• AI fluency. We have no preference on which tools, and we will ask you which you use and how.

Desirable

• Distributed systems, and message queueing such as RabbitMQ.


• GraphQL for the frontend to backend connection (Strawberry used on the backend side, Apollo on the frontend).

Trained on the job

• Terraform, infrastructure as code and the GCP stack. Some baseline understanding of deployment helps, and we will train the depth in your first three months.

How you work

• You take initiative on cross-team threads. You follow the wider technical discussions and get involved rather than waiting to be assigned.


• You handle ambiguity by unblocking first. Faced with a live issue, you get a hotfix in to stop the immediate problem, then bring the team together to plan the proper fix and drive it through.


• You ask for help rather than handing work back. When you get stuck you come in for advice, work it through, then carry it forward yourself.


• You communicate directly. You say what you have found, what you need and where you are.


• You want to spend time with the team in person - with quarterly travel to our London Office and travel at least once a week to Edinburgh.

• Open salary structure— this role offers a competitive base salary, paying up to £100,000 per annum.


• Equity share options — we operate an EMI share option scheme, so when the company grows in value, you share in it. Options vest over 48 months with a 12-month cliff.


• Pension — we contribute 3% through Penfold via salary sacrifice, with 5% employee contributions. Auto-enrolment applies after a 3-month postponement period, though you can join sooner if you'd like.


• Perks at Work — access to thousands of discounts across 30,000+ brands via CharlieHR, including up to 44% off cinema tickets and 15% off high street retailers.


• Cycle to Work scheme — purchase a bike and accessories in a tax-efficient way through salary sacrifice via Cyclescheme.


• Holiday Purchase scheme — buy up to 5 additional days of annual leave per year, spread across monthly salary deductions.


• 25 days annual leave plus bank holidays, with the option to carry forward up to 3 days.


• Company socials — throughout the year we take time to reflect, reconnect, and recharge together.


• AXA private medical insurance — Neurolabs covers the full premium. Cover includes cancer treatment, diagnostics, physiotherapy, counselling, and European travel insurance. Dental and optical handbooks also available.

Disclaimer: We are not accepting unsolicited CVs or candidate introductions from recruitment agencies. Any profiles submitted without prior agreement will be considered the property of Neurolabs, and no fees will be payable.