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 a team that’s redefining AI agents and make a real impact.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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.
Senior AI Engineer (Remote) (Bradford) employer: Employer near you
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering remote work flexibility that allows you to thrive from the comfort of your home in Bradford. With a strong focus on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of autonomous agents, fostering a culture of continuous learning and development. Join us to be part of a dynamic team where your contributions directly impact the advancement of AI technology, all while enjoying a supportive and inclusive work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Remote) (Bradford)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and 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 AI automation or complex systems integration. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with real-world applications of AI.
✨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 Senior AI Engineer (Remote) (Bradford)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI 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! Provide examples of your work with languages like Python or JavaScript, and mention any hands-on experience you have with SQL databases. This helps us understand your practical abilities.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your achievements and experiences. This will help us quickly grasp your qualifications and fit 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. 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 built production-grade software. They’ll want to hear about specific projects where you’ve tackled complex systems integration.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to solve real-world problems using AI agents. Think about times when you’ve integrated tools like Supabase or Gmail into your projects. Being able to articulate how you approached these challenges will set you apart.
✨Demonstrate Attention to Detail
Since the role requires outstanding attention to detail, be ready to discuss how you provide clear technical feedback on system behaviours. Bring up instances where your meticulousness helped identify subtle failures or improved system performance.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in their projects. Inquire about their approach to training Large Language Models or how they handle multi-turn interactions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
