L1 | Full-Stack | London (Hybrid) | 0–2 years experience | Salary: £35,000Vue
- Node / TypeScript
- C# / .NET
- AWS Lambda
- SQS / SNS
- PostgreSQLABOUT COLLECTIV FOODFood distribution is still one of the most wasteful, fragmented industries on the planet. Collectiv Food is changing that - connecting restaurants and venues with suppliers across the UK, Europe and beyond, and building the technology to make every order smarter, greener, and more efficient.
We're a fast-growing B2B food wholesale platform approaching Series B, with hundreds of professional kitchens relying on our platform daily. You'll join a lean, senior engineering team shipping production features across order management, AI agent infrastructure, and supplier tooling - with AI as your primary development collaborator from day one.
THE ROLE
This isn't a narrow backend or frontend slot - you'll work across the full stack. On any given day that might mean building a Vue component for our order management UI, writing a Node/TypeScript Lambda to process supplier webhooks, or wiring up an SQS-driven async pipeline in our C#/.NET services. Our engineering model is AI-native: engineers direct AI agents to write code and own the critical review of that output.
Key Responsibilities and Duties
- What you'll build→ Vue interfaces for a variety of management platforms→ Node/TypeScript Lambdas and event-driven services→ C#/.NET integrations with suppliers and 3rd-party APIs→ AI agent tooling and automation pipelines→ Features across order management and fulfilment
- How you'll spend your time60%
- AI-assisted development30%
- Technical validation & code review10%
- Structured learning & upskilling
- COMPETENCIESTECHNICALFull-Stack dev
- Build features across Vue, Node/TypeScript, and C#/.NET. Comfortable switching context between frontend and backend within the same feature.AI-assisted dev
- Use AI agents as your primary coding collaborator.
- Write clear, contextual prompts for well-defined tasks.
- Know when to trust vs verify AI output.
- Code review
- Review AI-generated code critically — catch bugs, security gaps, and drift from requirements.
- Run tests to verify output.
- Ask seniors when uncertain.
- Cloud & events
- Understand Lambda, SQS, SNS and async event patterns in AWS. Deploy and debug serverless functions.
- Learn the architecture of your product area.
- Security
- Follow secure coding practices.
- Identify vulnerabilities in AI-generated code.
- Never commit secrets or PII. Understand basic security risks.
- Delivery
- Own your work from concept to deployment.
- Ship small, reviewable PRs frequently.
- Manage your own WIP limits and communicate blockers early.PRODUCT & BUSINESSProduct sense
- Understand the business context of what you build.
- Ask astute questions when requirements are unclear.
- Participate in Show & Tell.
- Learn the domain deeply.
- Adaptability
- Handle priority changes without friction.
- Adapt when requirements shift — including throwing away AI-generated code.
- Work with ambiguity constructively.DELIVERY & OWNERSHIPOwnership
- Take full responsibility for AI-assisted tasks through to completion.
- Validate AI output thoroughly before marking anything done.
- Fix bugs promptly.
- Planning
- Read and understand tickets before starting.
- Break down tasks where needed.
- Use AI tools to interpret and execute — while ensuring output matches requirements.COMMUNICATIONCommunication
- Ask for help when impeded — don't sit on it. Communicate status proactively.
- Explain your approach and the reasoning behind AI-generated decisions clearly.
- Share learnings and observations in team meetings.
- Learning
- Actively seek guidance from seniors.
- Apply feedback to improve your prompting and review skills.
- Share what you learn about AI tools with the team.
Key Skills and Competencies
- You'll likely have
- Some experience with TypeScript, C#, and/or Vue
- Experience developing responsive websites with design systems
- Exposure to REST APIs and relational databases
- Comfort working with or learning AWS serverless
- A track record of shipping, even small things
- Genuine curiosity about how AI tools actually work
- Mindset that fits
- Comfortable not knowing everything — and asking
- Thinks carefully before trusting AI output
- Prefers frequent small PRs over big bangs
- Honest about blockers early
- Energised by working across the full stack
- WHY COLLECTIV FOODAI-native from day one
- You won't be using AI as an afterthought.
- It's the primary development model — you'll grow faster here than anywhere else.
- Real ownership, fast
- We're a small team approaching Series B. Junior engineers ship production features.
- No years of ticket-taking before you matter.
- Mission that scales
- Food waste, supply chain efficiency, sustainable logistics.
- The tech you build has a direct impact on how restaurants operate across Europe.
