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) (Leicester) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior AI Engineers to thrive in a remote setting while shaping the future of autonomous agents. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of AI advancements. Join us to be part of a dynamic team that values creativity and offers the flexibility of remote work, all while contributing to groundbreaking projects in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Remote) (Leicester)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend engineering. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to AI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior AI Engineer (Remote) (Leicester)
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 how you've built production-grade software or worked with LLMs. This helps us understand your practical experience and how you can contribute to our projects.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and gets straight to the point. Use bullet points where necessary to break down your achievements and experiences. This will help us quickly see why you're a great 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 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’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'll likely be asked about your experience with databases and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think of scenarios where you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be prepared to provide clear, high-density feedback on technical issues you've encountered. You might even want to bring along some documentation or code snippets that highlight your ability to identify subtle failures.
✨Engage with Their Vision
Research Outlier and their projects, especially around autonomous agents and LLMs. Show genuine interest in how you can contribute to shaping the future of these technologies. Ask insightful questions that reflect your understanding of their work and your enthusiasm for the role.
