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- Tasks: Join a small team to build innovative AI-powered software and applications.
- Company: Fast-growing platform making AI accessible to hundreds of thousands of users.
- Benefits: Remote-first work, competitive salary, and meaningful equity.
- Other info: Dynamic environment with opportunities for growth and collaboration.
- Why this job: Shape the future of AI technology while working with cutting-edge tools.
- Qualifications: Strong TypeScript skills and experience with LLM-powered systems.
The predicted salary is between 60000 - 80000 £ per year.
cto is a platform for AI agents that write code, create apps, and build businesses. We're growing fast, serving over 100,000s users, and making AI accessible by offering cto free forever.
We’re looking for a full-stack engineer with good software engineering fundamentals and real experience shipping LLM-powered agentic systems. You’d be joining a small team building cto.new and shaping how it gets built.
What we care about:
- 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.)
- Good judgment about scope and priorities. Pragmatic approach to getting things done
Our stack (we don’t expect you to know all of it):
- TypeScript, Fastify, PostgreSQL/Prisma, Redis, Next.js/React, Anthropic + OpenAI + Gemini + OpenRouter, Modal/Daytona/E2B sandboxes, Better Stack, GitHub Actions.
Nice to have:
- Sandbox / container orchestration
- Linux fundamentals (Bash, Docker, PTYs, networking)
- Distributed systems (queues, idempotency, race conditions)
- Frontend depth, testing rigor, observability
The details:
- Remote-first, London / UK based
- Full-time
- Competitive salary and meaningful equity
If this sounds like you, or someone you know, we’d love to hear from you. No recruiters. Thanks.
Software-ontwikkelaar in London employer: cto.new
Contact Detail:
cto.new Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software-ontwikkelaar in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with AI and software development. Join relevant online communities or local meetups to connect with potential colleagues and learn about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM-powered systems. This will give us a clear idea of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for technical interviews by brushing up on TypeScript and backend fundamentals. We love seeing candidates who can demonstrate their knowledge of data modelling and API design, so practice coding challenges and system design questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team at cto.
We think you need these skills to ace Software-ontwikkelaar in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your TypeScript expertise and any experience you have with LLM-powered systems. We want to see how your skills align with what we’re building at cto!
Be Pragmatic: When writing your application, demonstrate your good judgment about scope and priorities. Share examples of how you've tackled challenges in a practical way – we love a can-do attitude!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect our tech stack and the specific requirements mentioned in the job description. It shows us you’re genuinely interested.
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 it gets into the right hands quickly!
How to prepare for a job interview at cto.new
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially TypeScript and backend fundamentals. Brush up on data modelling and API design, as these are crucial for the role.
✨Showcase Your LLM Experience
Be ready to discuss your production experience with LLM features. Prepare examples of how you've worked with tool-calling, prompt iteration, and any cost or latency tuning you've done. This will demonstrate your hands-on knowledge.
✨Demonstrate Collaboration Skills
Since the role involves working with AI-native workflows, highlight your experience collaborating with coding agents. Share specific instances where you’ve successfully integrated AI tools into your projects.
✨Prioritise and Scope Effectively
Prepare to discuss how you approach project scoping and prioritisation. Give examples of how you’ve made pragmatic decisions to get things done efficiently, which is key for a fast-growing team.