At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI integration with a focus on innovation.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement opportunities.
- Why this job: Join a team that collaborates with top AI organisations to make a real impact.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 45000 - 55000 € 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 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) (Cardiff) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Integration Engineers to thrive in a remote setting from Cardiff. With a strong focus on employee growth, we offer opportunities to work on cutting-edge projects that shape the future of AI technology, while providing flexible working arrangements and a supportive environment that values creativity and technical expertise.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integration Engineer (Remote) (Cardiff)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI integration or backend engineering. This is your chance to demonstrate your expertise and passion for the field—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI automation and systems integration. Practice coding challenges and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace AI Integration Engineer (Remote) (Cardiff)
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. We love seeing practical experience!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure to articulate your thoughts on complex system behaviours without unnecessary jargon.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Employer near you
✨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 Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with AI Integration
Since the role focuses on AI agents, it’s crucial to understand how they work. Research the latest trends in AI automation and be ready to discuss how you've integrated agents with live tools like Supabase or Gmail. This will highlight your hands-on experience and enthusiasm for the field.
✨Attention to Detail is Key
During the interview, make sure to emphasise your attention to detail. Discuss how you've identified subtle failures in previous projects, such as privacy leaks or authority escalation. This will show that you take quality seriously and can contribute to building robust systems.
