At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents like OpenClaw.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI technology and complex workflows.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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.
OpenClaw LLM Engineer (Remote) in Portsmouth employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a strong focus on innovation and collaboration, we offer a dynamic remote work culture that fosters creativity and professional growth. Employees benefit from engaging projects with leading AI organisations, opportunities for skill enhancement, and the chance to shape the future of autonomous agents like OpenClaw.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw LLM Engineer (Remote) in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with LLMs. Use platforms like LinkedIn to connect and engage with industry leaders; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with multi-turn system interactions and how you've tackled real-world problems using tools like Supabase or various APIs. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about shaping the future of autonomous agents. It shows initiative and gives us a better sense of your enthusiasm for the role.
We think you need these skills to ace OpenClaw LLM Engineer (Remote) in Portsmouth
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 shaping the future of autonomous agents!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about working with LLMs and how your background aligns with our mission at Outlier. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills:When filling out your application, don’t forget to highlight your proficiency in programming languages like Python or JavaScript. Mention any experience with SQL databases and how you've built production-grade software. We love seeing concrete examples of your work!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you built production-grade software and how you approached multi-turn system interactions.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of SQL databases and modular software design. Practise explaining your thought process clearly and concisely, as this will demonstrate your attention to detail and ability to provide high-density technical feedback.
✨Highlight Your Collaborative Spirit
Since Outlier collaborates with leading AI organisations, be prepared to discuss how you've worked in teams before. Share experiences where you contributed to a project involving multiple stakeholders, especially in training AI agents or integrating live tools.
