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, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Join us to make a real impact in the world of autonomous agents.
- 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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
AI Solutions Engineer (Remote) (Leeds) in Garforth employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture encourages continuous learning and professional growth, providing employees with opportunities to work on cutting-edge AI projects that shape the future of technology. With a focus on employee well-being and a commitment to diversity, we ensure that every team member feels valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer (Remote) (Leeds) in Garforth
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with autonomous agents. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. 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 backend engineering or AI automation. Include links to GitHub repos or 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 technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to AI and backend systems. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨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 genuinely interested in joining our mission to shape the future of AI agents!
We think you need these skills to ace AI Solutions Engineer (Remote) (Leeds) in Garforth
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!
Be Specific:When detailing your technical skills, be specific about the languages you know and the projects you've worked on. Mention any experience with SQL databases and multi-turn system interactions to really catch our eye.
Attention to Detail is Key:We love candidates who pay attention to detail. Make sure your application is free from typos and clearly structured. This shows us you can provide high-density technical feedback, which is crucial for the role.
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. We can’t wait to see what you bring to the table!
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 real-world problems using these technologies during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your experience with backend engineering and AI automation. Be ready to discuss how you've built and maintained production-grade software, focusing on modular separation and complex systems integration.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the projects they’re working on, especially around training Large Language Models. This will help you align your answers with their objectives and show that you’re genuinely interested in contributing to their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the challenges they face with multi-turn system interactions or how they handle privacy concerns. This not only shows your interest but also your understanding of the complexities involved in AI solutions.
