At a Glance
- Tasks: Automate SaaS tool interactions using LLMs and build intelligent enterprise integrations.
- Company: Dynamic startup with experienced founders and a strong team culture.
- Benefits: Competitive salary up to £100,000, flexible remote work, and opportunities for international work.
- Other info: Collaborative environment with room for creativity and significant career growth.
- Why this job: Join a cutting-edge AI project and solve real-world problems with innovative technology.
- Qualifications: Experience with LLMs in production and a passion for tech experimentation.
The predicted salary is between 90000 - 100000 £ per year.
You've been watching the AI infrastructure space for a while. Some of what's being built is vapour. Some of it isn't. What does the difference look like?
An integration platform that's making AI agents actually useful — connecting the tools businesses run on so that the AI can do the work without a human holding the pieces together. Series A, growing ARR, and hiring.
If you want to work with experienced founders, a strong team who've been through it before, and the technical freedom to experiment, read on.
Some signs a startup is standing on solid ground:
- Paying enterprise customers — not just pilots
- Clear vision for what they're building and who it's for
- Founders who've done it before
- A team that's careful with their hires — culture over headcount
- Room to experiment: turning ideas into experiments has already unlocked a new revenue stream
This is the role. You'll be working on the AI layer of an integration platform — automating how SaaS tools talk to each other using LLMs, building tools that help agents reason about complex API workflows, and shipping features that handle the messiness of real-world enterprise data. TypeScript, Python, Langsmith, Modal, AWS.
You bring the experience with LLMs in production; they'll give you the scale and the problems worth solving.
What does it pay? Up to £100,000 on the base.
Can I work remotely? London office, two days a week. If you're in the UK and London is a stretch for a commute, get in touch anyway — they flex. Weeks working abroad? Achievable.
What will I actually be working on? LLM orchestration, AI agent reasoning over complex API workflows, building the tools that make enterprise integrations intelligent. Think: how do you give an AI agent enough context to handle a messy, multi-step API workflow without a human babysitting it?
If you read this far and you'd like your CV reviewed by a human, email mark@seekr.inc with "Don't burst my bubble" in the subject line. A couple of lines on why you think this might be a good fit — that's all.
AI Engineer in London employer: SEEKR
Join a dynamic startup that prioritises innovation and collaboration, where you'll have the opportunity to work alongside experienced founders and a talented team in the heart of London. With a strong focus on employee growth, you will enjoy the freedom to experiment with cutting-edge AI technologies while contributing to meaningful projects that drive real-world impact. The company offers a flexible work environment, allowing for remote work options and the chance to work abroad, making it an attractive place for those seeking a rewarding career in AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, especially those who work at startups. Use LinkedIn or even Twitter to connect and engage with them. You never know who might have a lead on that perfect AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and API workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each company. Research their products and culture, and mention specific things you admire in your conversations. This shows genuine interest and can make a big difference.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Plus, it gives you a better chance to stand out and get noticed by our hiring team. Don’t miss out!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Engineer. Highlight your experience with LLMs and any relevant projects you've worked on. We want to see how your skills align with what we're building at StudySmarter!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share why you're excited about the role and how you can contribute to our mission. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Technical Skills:Since you'll be working with TypeScript, Python, and AWS, make sure to mention your proficiency in these areas. We’re looking for someone who can hit the ground running, so don’t hold back on your technical achievements!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at SEEKR
✨Know Your Stuff
Make sure you brush up on your knowledge of LLMs and how they integrate with SaaS tools. Be ready to discuss specific projects you've worked on, especially those involving complex API workflows. This shows you're not just familiar with the theory but have practical experience.
✨Show Your Problem-Solving Skills
Prepare to talk about real-world challenges you've faced in previous roles. Think about how you approached these problems and what solutions you implemented. This is crucial for a role that involves automating processes and reasoning over data.
✨Cultural Fit Matters
Research the company culture and values. Be ready to explain why you want to work in a startup environment and how you can contribute to their team dynamics. Highlight your adaptability and willingness to experiment, as this aligns with their focus on culture over headcount.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision and the specific challenges they face in the AI infrastructure space. This not only shows your interest but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
