At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € per year.
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.
Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.
Ideal Qualifications- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery using to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
AI Integration Engineer (Remote) (London) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Integration Engineers to thrive in a remote setting while contributing to groundbreaking projects. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of AI advancements. Join us in shaping the future of autonomous agents and enjoy the flexibility of remote work alongside a passionate team dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integration Engineer (Remote) (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI integration. We love seeing practical examples of your work that demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to backend engineering and AI automation. We want you to feel confident and ready to tackle any challenge thrown your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see what you bring to the table!
We think you need these skills to ace AI Integration Engineer (Remote) (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Integration Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world applications, especially in live environments. This will help us see your practical experience.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate high-density technical feedback, so make sure your explanations are easy to understand while still being detailed.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration challenges. Think about specific instances where you built production-grade software or handled multi-turn system interactions, and be ready to explain your thought process.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might want to prepare a few scenarios where you identified subtle failures or optimised workflows, as this will show your keen eye for detail.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated with tools like Supabase and Gmail. Being able to discuss practical applications and your hands-on experience with APIs will set you apart and show that you're not just theoretically knowledgeable but also practically savvy.