At a Glance
- Tasks: Build cutting-edge AI products and develop specialised LLMs for seamless integrations.
- Company: Join StackOne, a high-growth startup backed by top investors like GV and Workday Ventures.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with a world-class engineering team from industry giants.
- Why this job: Work at the forefront of AI R&D and make a real impact in the tech world.
- Qualifications: Experience with Generative AI, LLMs, TypeScript, and Python is essential.
The predicted salary is between 80000 - 98000 £ per year.
StackOne is a $24M VC-funded AI Integration Gateway backed by GV and Workday Ventures. They provide builders of SaaS platforms and AI Agents with a unified toolkit to orchestrate hundreds of enterprise-grade integrations, combining a real-time architecture with 25,000 pre-mapped actions across 200 connectors.
As an AI Engineer at StackOne, you will build the future of agentic integrations by delivering end-to-end AI products. Reporting to the CTO, you’ll work with AI researchers to develop specialized LLMs for tool‑calling, ensuring precision and reliability in agentic execution while maintaining high-performance inference pipelines and retrieval systems.
Location: London, UK
Why this role is remarkable:
- Work at the frontier of AI R&D, building specialized LLMs designed for tool‑calling and agentic execution rather than just general‑purpose applications.
- Join a high‑growth startup backed by elite investors like GV and Workday Ventures, scaling a platform that already powers thousands of integrations.
- Collaborate with a world‑class veteran engineering team from industry leaders like Google, Microsoft, and Coinbase in a culture built on shipping and ownership.
What You Will Do:
- Design and deploy full‑stack features including inference pipelines, embeddings, and retrieval systems across AWS and Cloudflare.
- Implement cutting‑edge tool‑calling and Model Context Protocol (MCP) patterns to enable one‑click agent integrations with any tool.
- Develop and maintain high‑quality open‑source and internal TypeScript and Python packages to accelerate the developer ecosystem.
The ideal candidate:
- Professional experience shipping production‑grade applications using Generative AI and LLMs like GPT or Anthropic.
- Expert proficiency in TypeScript and Python with a proven track record of building scalable systems on AWS, GCP, or Cloudflare.
- Strong background in full‑stack engineering with experience publishing SDKs, CLIs, or complex packages in a fast‑paced environment.
AI Engineer at StackOne in London employer: Jack & Jill
StackOne is an exceptional employer for AI Engineers, offering a dynamic work environment at the forefront of AI research and development in London. With a culture that emphasises innovation and ownership, employees benefit from collaboration with a world-class engineering team and opportunities for professional growth within a high-growth startup backed by prestigious investors. The company fosters a supportive atmosphere where cutting-edge technology meets real-world applications, making it an ideal place for those looking to make a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer at StackOne in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jack & Jill or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jack & Jill.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jack & Jill.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jack & Jill that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer at StackOne in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jack & Jill.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jack & Jill and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jack & Jill uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
