L1 Full-Stack London (Hybrid) 0-2 years experience Salary: £35,000
ABOUT COLLECTIV FOOD
Food 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 ROLEThis 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 DutiesWhat you'll build
How you'll spend your time
Build features across Vue, Node/TypeScript, and C#.NET. Comfortable switching context between frontend and backend within the same feature.
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 reviewReview AI-generated code critically - catch bugs, security gaps, and drift from requirements. Run tests to verify output. Ask seniors when uncertain.
Understand Lambda, SQS, SNS and async event patterns in AWS. Deploy and debug serverless functions. Learn the architecture of your product area.
SecurityFollow secure coding practices. Identify vulnerabilities in AI-generated code. Never commit secrets or PII. Understand basic security risks.
DeliveryOwn your work from concept to deployment. Ship small, reviewable PRs frequently. Manage your own WIP limits and communicate blockers early.
Product & Business Product senseUnderstand the business context of what you build. Ask astute questions when requirements are unclear. Participate in Show & Tell. Learn the domain deeply.
Handle priority changes without friction. Adapt when requirements shift - including throwing away AI-generated code. Work with ambiguity constructively.
Delivery & Ownership OwnershipTake full responsibility for AI-assisted tasks through to completion. Validate AI output thoroughly before marking anything done. Fix bugs promptly.
PlanningRead and understand tickets before starting. Break down tasks where needed. Use AI tools to interpret and execute - while ensuring output matches requirements.
Communication CommunicationAsk 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.
LearningActively 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 CompetenciesYou'll likely have
Mindset that fits
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, fastWe're a small team approaching Series B. Junior engineers ship production features. No years of ticket-taking before you matter.
Mission that scalesFood waste, supply chain efficiency, sustainable logistics. The tech you build has a direct impact on how restaurants operate across Europe.