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 β¬ 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 β 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.
GenAI Engineer (Remote) (Bradford) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing GenAI Engineers to thrive in a remote setting while shaping the future of AI technology. 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 advancements in AI and complex systems integration. Join us in Bradford to be part of a forward-thinking company that values your expertise and encourages you to make a meaningful impact in the world of autonomous agents.
StudySmarter Expert Adviceπ€«
We think this is how you could land GenAI Engineer (Remote) (Bradford) in London
β¨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.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This is your chance to demonstrate your expertise and passion for the field.
β¨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key in this role.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs 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 GenAI Engineer (Remote) (Bradford) in London
Some tips for your application π«‘
Tailor Your CV:Make sure your CV is tailored to the GenAI Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that align with AI automation or complex systems integration.
Showcase Your Skills:Donβt just list your skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world applications, especially in live environments.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents and how your background makes you a perfect fit for our team.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. Itβs the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Outlier AI
β¨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 used them in real-world projects. This will show that you're not just familiar with the tech, but that you can apply it effectively.
β¨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or multi-turn interactions in your previous roles. Highlight specific challenges you faced and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
β¨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on SQL databases and be prepared to explain how you've built production-grade software. Practising common technical interview questions can help you feel more confident and articulate your thoughts clearly.
β¨Demonstrate Attention to Detail
Since the role requires outstanding attention to detail, be prepared to discuss how you ensure quality in your work. Bring examples of how you've provided clear, high-density feedback on complex system behaviours. This will show that you take pride in your work and understand the importance of precision in AI development.