Junior Engineer

HR Duo, Ltd.; Greater London; On-site; GBP 31,500 - 38,500; Full time

Job summary

HR Duo, Ltd. is looking for a Full-Stack Engineer to join their London team in a hybrid role. This position involves developing various interfaces using Vue and Node/TypeScript, while utilizing AI as a primary development collaborator. You'll have the opportunity to work across the full stack and actively contribute to a fast-growing B2B food wholesale platform.

The ideal candidate possesses experience in responsive website development, with a strong interest in AI tools. Join a passionate team and make a direct impact on food supply chain efficiency across Europe.

Qualifications

• Some experience with TypeScript, C#, and/or Vue.
• Experience developing responsive websites with design systems.
• Genuine curiosity about how AI tools actually work.

Responsibilities

• Build features across Vue, Node/TypeScript, and C#.NET.
• Review AI-generated code critically — catch bugs and verify output.
• Own your work from concept to deployment.

Skills

TypeScript

C#

Vue

REST APIs

AWS serverless

Job description

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 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 time

• 30% Technical validation & code review
• 10% Structured learning & upskilling

COMPETENCIES

TECHNICAL

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 review

Review 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.

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 & Business

Product sense

Understand 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

Ownership

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.

Communication

Communication

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 FOOD

AI-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.