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 opportunities.
- Why this job: Join us to make a real impact on cutting-edge AI technology and autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation, with strong coding skills.
The predicted salary is between 50000 - 60000 € 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 Application Engineer (Remote) (Birmingham) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Application Engineers to thrive in a remote setting from Birmingham. 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 your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Engineer (Remote) (Birmingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant online forums, attend virtual meetups, and connect with people on LinkedIn. 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 related to AI automation or backend engineering. Include links to your GitHub or any live demos. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with complex systems integration and multi-turn interactions. Practise coding challenges and be prepared to explain your thought process clearly—communication 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 are proactive about their job search. So, get your application in and let’s shape the future of AI together!
We think you need these skills to ace AI Application Engineer (Remote) (Birmingham)
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 projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience and technical prowess.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. Remember, we’re looking for outstanding attention to detail!
Apply Through Our Website:Don’t forget to apply 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 our projects and culture at StudySmarter.
How to prepare for a job interview at Employer near you
✨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 tackled complex systems integration in the past. This is your chance to show off your technical prowess!
✨Showcase Real-World Experience
Prepare examples from your previous roles where you've built production-grade software. Talk about specific projects where you handled multi-turn system interactions or integrated agents with live tools. Real-world examples will help demonstrate your practical skills and problem-solving abilities.
✨Attention to Detail is Key
Highlight your ability to provide clear, high-density technical feedback. Be prepared to discuss how you've identified subtle failures in systems, such as privacy leaks or authority escalation. This shows that you not only understand the technology but can also critically assess its performance.
✨Be Ready for Collaboration
Since this role involves working with leading AI organisations, emphasise your teamwork skills. Share experiences where you've collaborated with others to optimise workflows or train AI systems. Showing that you can work well in a team will make you a more attractive candidate.
