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 or AI automation, strong coding skills required.
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) (Manchester) in Stretford 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 Manchester. 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 Application Engineer (Remote) (Manchester) in Stretford
✨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 automation or complex systems integration. 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 your technical knowledge. Be ready to discuss your experience with backend engineering and multi-turn system interactions. Practice common interview questions and think about how you can relate your past work to the role.
✨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 that application in and let’s shape the future of AI together!
We think you need these skills to ace AI Application Engineer (Remote) (Manchester) in Stretford
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 built production-grade software or worked with LLMs. This helps us understand your hands-on experience and problem-solving abilities.
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 what we do 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.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've built production-grade software and handled multi-turn system interactions. Highlight any real-world problems you've solved using tools like Supabase or various APIs, as this will show your practical experience.
✨Attention to Detail is Key
During the interview, demonstrate your outstanding attention to detail by providing clear, high-density technical feedback on complex system behaviours. This will help you stand out as someone who can identify subtle failures and improve system performance.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your ability to design and optimise workflows. Think about how you would approach multi-stage coordination tasks and be prepared to discuss your thought process in detail.
