At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
The predicted salary is between 50000 - 60000 € per year.
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.
- 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 Application Engineer (Remote) (Bradford) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Application Engineers to contribute to groundbreaking projects in the field of autonomous agents. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working remotely from Bradford, ensuring a flexible work-life balance. Join us to be part of a team that values your expertise and creativity in shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Engineer (Remote) (Bradford) in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI application engineering. Practise explaining your thought process clearly, as communication is key in this field.
✨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 are proactive about their job search!
We think you need these skills to ace AI Application Engineer (Remote) (Bradford) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Application 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!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share your thoughts on the importance of human feedback in AI and how you can contribute to our mission at Outlier.
Apply Through Our Website:We encourage you to apply through our website for a smoother application 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 knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've used them in real-world projects. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or multi-turn interactions in your previous roles. Highlight specific challenges you faced and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on SQL databases and be prepared to explain how you've built production-grade software. Practising common technical interview questions can help you feel more confident and articulate your thought process clearly.
✨Demonstrate Attention to Detail
Since the role requires outstanding attention to detail, be prepared to discuss how you've provided clear, high-density feedback on complex system behaviours in the past. Bring examples that showcase your meticulous nature and how it has positively impacted your projects.
