At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to work on cutting-edge projects.
- Other info: Dynamic role with opportunities to tackle real-world challenges and grow your expertise.
- Why this job: Make a real impact in the AI field while working with top-tier organisations.
- 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.
Agentic AI Engineer (Freelance, Remote) in Peterborough employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture empowers you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to shape the future of autonomous agents and be part of a team that values your expertise and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer (Freelance, Remote) in Peterborough
✨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 freelance gigs or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your experience with backend engineering and AI automation. Include any cool stuff you've built, especially if it involves multi-turn interactions or complex systems integration.
✨Tip Number 3
Tailor your pitch! When reaching out to potential clients or companies, make sure to customise your message. Highlight how your skills in Python, JavaScript, or SQL can specifically help them improve their AI agents.
✨Tip Number 4
Apply through our website! We love seeing applications directly from our site. It shows you're genuinely interested in working with us and makes it easier for us to find your details when we’re reviewing candidates.
We think you need these skills to ace Agentic AI Engineer (Freelance, Remote) in Peterborough
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 production-grade software and tackled complex systems integration. Don't hold back on showcasing your technical prowess!
Be Specific About Your Experience:When detailing your past projects, be specific about the languages you've used and the environments you've worked in. We love seeing concrete examples of your work with Python, JavaScript, or any other major languages. It helps us understand your fit for the role!
Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This reflects your attention to detail, which is crucial for the role of an Agentic AI Engineer.
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 on joining 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 behaviours, as this will resonate well with the interviewers.
✨Be Ready for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practise coding problems or system design scenarios that relate to multi-turn interactions and agent coordination. This will help you demonstrate your hands-on experience effectively.
✨Communicate Clearly and Confidently
During the interview, focus on articulating your thoughts clearly. When discussing your past projects, provide high-density feedback on your experiences, especially regarding subtle failures or privacy concerns. This shows your attention to detail and ability to think critically about complex systems.
