At a Glance
- Tasks: Shape the future of AI by improving autonomous agents with human feedback.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € per year.
About the Project
Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. 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.
Nice to have
- 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 MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
AI Integration Engineer (Remote) (Newcastle upon Tyne) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Integration Engineers to thrive in shaping the future of autonomous agents from the comfort of their homes in Newcastle upon Tyne. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development while working on cutting-edge projects with leading AI organisations. Our commitment to flexibility and a supportive environment makes Outlier a rewarding place to advance your career in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integration Engineer (Remote) (Newcastle upon Tyne)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems in live environments. Practice explaining your thought process clearly!
✨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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Integration Engineer (Remote) (Newcastle upon Tyne)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention specific projects or technologies you've worked with that relate to our needs.
Showcase Your Technical Skills:Since we're looking for someone with strong programming skills, make sure to include relevant projects or experiences where you've used languages like Python or JavaScript. We love seeing practical examples of your work, especially in live environments!
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you might be asked to solve a problem on the spot or discuss your past experiences with databases.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Demonstrate Attention to Detail
Since the role requires high-density technical feedback, be ready to explain how you ensure quality in your work. Bring examples of how you’ve identified and resolved subtle failures in previous projects, such as privacy leaks or authority escalation.
✨Familiarise Yourself with Real-World Applications
Research how Outlier collaborates with leading AI organisations and be prepared to discuss how you can contribute to training advanced generative systems. Think about how your experience with live tools and APIs can help solve real-world problems in this context.
