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 Luton employer: Outlier AI
At Outlier, we pride ourselves on being an innovative employer that empowers our freelance AI Engineers to shape the future of autonomous agents from the comfort of their own homes. Our collaborative work culture fosters creativity and growth, offering opportunities to engage with cutting-edge technology while contributing to meaningful projects that impact the AI landscape. Join us to be part of a dynamic team where your expertise will not only be valued but also help drive the evolution of intelligent systems.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer (Freelance, Remote) in Luton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. 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 skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in our projects. Tailor your application to highlight how your experience aligns with what we’re doing at Outlier.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past experiences in detail, especially those that relate to building production-grade software and handling multi-turn interactions.
We think you need these skills to ace Agentic AI Engineer (Freelance, Remote) in Luton
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!
Tailor Your Application:Take a moment to customise your application for the Agentic AI Engineer role. Mention specific projects or experiences that align with our focus on training Large Language Models and working with multi-step agents. This will help us see how you fit into our vision.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your past experiences and technical skills. We appreciate attention to detail, so make sure your application is well-structured and free of errors.
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’re considered for the role. Plus, it shows us 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.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Being able to articulate how your skills can contribute to shaping autonomous agents like OpenClaw will show that you’re genuinely interested and invested in their projects.
✨Prepare for Technical Feedback Scenarios
Since the role involves providing high-density technical feedback, think about how you would approach giving constructive criticism on system behaviours. Be ready to discuss past experiences where you’ve had to analyse and provide feedback on complex systems.
