At a Glance
- Tasks: Shape the future of AI by improving autonomous agents with human feedback.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your skills.
- 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.
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 Workflow Engineer (Remote) (Cambridge) 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 meaningful contributions and a supportive team atmosphere, we empower our engineers to excel in their roles while enjoying the flexibility of remote work from the vibrant city of Cambridge.
StudySmarter Expert Advice🤫
We think this is how you could land AI Workflow Engineer (Remote) (Cambridge)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've built.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. We recommend practicing with mock interviews or coding challenges to get comfortable with the types of questions you might face.
✨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’re always on the lookout for passionate individuals ready to shape the future of AI!
We think you need these skills to ace AI Workflow Engineer (Remote) (Cambridge)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention specific projects or technologies you've worked with that relate to our needs.
Showcase Your Technical Skills:Since we’re looking for someone with strong programming skills, make sure to include relevant projects or experiences where you’ve used languages like Python or JavaScript. If you’ve integrated agents with live tools, let us know about it!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
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'll likely be asked to demonstrate your understanding of databases and how they integrate with AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experiences where you’ve optimised workflows or improved system interactions, as this will resonate well with the interviewers.
✨Be Ready for Technical Challenges
Expect some technical questions or even live coding challenges during the interview. Practise solving problems related to multi-turn system interactions and data parsing, as these are crucial for the role. Don’t forget to explain your thought process clearly while solving them!
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, prepare to discuss how you ensure quality in your work. Bring examples of how you’ve provided clear technical feedback on complex behaviours in past projects, and be ready to talk about how you identify and resolve subtle issues.
