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- Tasks: Develop innovative software solutions using cutting-edge AI technologies.
- Company: Join a forward-thinking start-up revolutionising software development.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a small team in a dynamic and collaborative environment.
- Why this job: Shape the future of software with AI and make a real impact.
- Qualifications: Strong TypeScript skills and experience with LLM features required.
The predicted salary is between 60000 - 80000 £ per year.
We've partnered with an innovative start-up who believe anyone should be allowed to build software. Years ago the barrier to entry in software development was simple: a laptop and an internet connection - that changed overnight with the advent of AI which has now become essential for competitive software development. However that comes with a cost - often staggeringly so. You could help change that.
We're looking for a senior full-stack engineer with strong backend fundamentals and real experience shipping LLM-powered agentic systems. You will be joining a small team and shaping how the product gets built.
What you will need:
- Strong TypeScript and solid backend fundamentals - data modeling, API design, concurrency, failure modes
- Production experience with LLM features - tool-calling, prompt iteration, streaming, evals, cost and latency tuning
- AI-native workflow - fluent collaborating with coding agents day-to-day (Claude Code, Cursor, etc.)
- Frontend depth
- Linux fundamentals (Bash, Docker, PTYs, networking)
- Sandbox / container orchestration
The Tech Stack:
- Typescript
- Fastify
- PostgreSQL/Prisma
- Redis
- Next.js/React.js
- Anthropic + OpenAI + Gemini + OpenRouter
- Modal/Daytona/E2B sandboxes
- Better Stack
- Github Actions
Full Stack Engineer in Wakefield employer: Christopher Ali
Contact Detail:
Christopher Ali Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer in Wakefield
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI and LLM features. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript and LLM systems. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend fundamentals and AI-native workflows. Practice coding challenges and be ready to discuss your experience with data modelling and API design.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Full Stack Engineer in Wakefield
Some tips for your application 🫡
Show Off Your TypeScript Skills: Make sure to highlight your strong TypeScript experience in your application. We want to see how you've used it in real projects, especially when it comes to backend fundamentals and LLM features.
Talk About Your Production Experience: Don’t shy away from sharing your production experience with LLM-powered systems. We’re keen to know how you’ve tackled challenges like tool-calling and prompt iteration in your previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your skills and experiences shine through without any fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Christopher Ali
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially TypeScript and backend fundamentals. Brush up on data modelling, API design, and concurrency issues. Being able to discuss your experience with these tools confidently will show that you're a strong candidate.
✨Showcase Your LLM Experience
Since production experience with LLM features is crucial, prepare specific examples of projects where you've implemented tool-calling, prompt iteration, or cost and latency tuning. Be ready to discuss challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Demonstrate Collaboration Skills
As you'll be working closely with coding agents, it’s important to highlight your collaborative experiences. Share examples of how you’ve worked in teams, particularly in an AI-native workflow. This could include using tools like Claude Code or Cursor, so be prepared to discuss how you integrated these into your daily work.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of Linux fundamentals, Docker, and container orchestration. Practise explaining concepts clearly and concisely, as this will help you communicate effectively during the interview. Consider doing mock interviews to get comfortable with the format.