At a Glance
- Tasks: Help train advanced AI systems and optimise real-world workflows.
- Company: Outlier, a leader in AI solutions 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.
- Why this job: Join a team shaping the future of AI and make a real impact.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € 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.
- 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.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote working/work at home options are available for this role.
AI Solutions Engineer (Remote) (Manchester) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector. With a strong focus on employee growth, we offer opportunities for professional development while fostering a supportive remote work culture that values flexibility and work-life balance. Join us in Manchester to be part of a team that is at the forefront of shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer (Remote) (Manchester) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, JavaScript, or Go. Practice solving problems that involve multi-turn system interactions to impress your interviewers.
✨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 proactive about their job search.
We think you need these skills to ace AI Solutions Engineer (Remote) (Manchester) in London
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 and maintained production-grade software, so don’t hold back on those details!
Be Specific About Your Experience:When you mention your programming languages, be specific! If you're a whiz at Python or JavaScript, let us know how you've used them in real-world projects. We love seeing practical examples.
Tailor Your Application:Don’t just send a generic application. Tailor it to the role of AI Solutions Engineer. Mention your experience with multi-turn system interactions and coordination tasks to show us you’re the right fit.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
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 they’ll likely ask you about database interactions and how you’ve used these technologies in past projects.
✨Showcase Your Experience
Prepare to discuss specific examples from your previous roles where you built production-grade software or worked on complex systems integration. Highlight any projects that involved multi-turn system interactions or orchestration tasks, as this will demonstrate your hands-on experience.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in AI and how they improve AI agents through human feedback. Being able to articulate how your skills align with their mission will show your genuine interest and help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company culture and projects are a good fit for you.
