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 remote work with flexible hours and the chance to work on cutting-edge projects.
- Other info: Dynamic role with opportunities to tackle real-world challenges and enhance your skills.
- 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 Sheffield 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 Sheffield
✨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 showcasing your work with AI agents, backend systems, or any relevant projects. This gives potential clients a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Tailor your pitch! When reaching out to companies like Outlier, make sure to highlight your experience with complex systems integration and your command of languages like Python or JavaScript. Speak their language to grab their attention!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from our platform, and it helps us keep track of all the amazing talent out there. Plus, it shows you're genuinely interested in working with us!
We think you need these skills to ace Agentic AI Engineer (Freelance, Remote) in Sheffield
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:When detailing your past projects, be specific about the technologies you used and the challenges you faced. We love a good story about how you solved a tricky problem or optimised a workflow. It helps us understand your thought process and expertise.
Tailor Your Application:Take a moment to tailor your application to our project needs. Mention your experience with multi-turn system interactions and any relevant tools like Supabase or APIs. This shows us you're not just sending out generic applications but are genuinely interested in what we do.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
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 even live coding challenges during the interview. Practise coding problems related to backend engineering and AI automation, focusing on multi-turn interactions and real-world applications to showcase your expertise.
✨Demonstrate Attention to Detail
During the interview, emphasise your ability to provide clear, high-density feedback on complex systems. Share instances where your attention to detail has led to identifying subtle failures or improving system performance, as this is crucial for the role.
