At a Glance
- Tasks: Shape the future of AI by integrating and optimising 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 challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your skills.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
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.
OpenClaw Integration Engineer (Remote) employer: Outlier
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 promotes flexibility and work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to work on groundbreaking projects that shape the future of autonomous agents. Join us to be part of a dynamic team where your contributions are valued and your career can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Integration Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 languages like Python or JavaScript, and how you've tackled real-world problems in live environments. Practice explaining your thought process clearly!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your relevant experience and passion for shaping the future of autonomous agents.
We think you need these skills to ace OpenClaw Integration Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the OpenClaw Integration Engineer role. Highlight your experience in backend engineering and any relevant projects that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you’ve used them! Provide examples of how you've built production-grade software and handled multi-turn system interactions. We love seeing real-world applications of your expertise.
Be Clear and Concise:We appreciate clarity! Make sure your written application is easy to read and straight to the point. Use bullet points where necessary to break down complex information, especially when discussing technical feedback or system behaviours.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Outlier
✨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 might be asked to solve problems on the spot or discuss your past experiences with databases.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions effectively.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be ready to explain how you ensure quality in your work. Discuss any tools or processes you use to catch subtle issues, like privacy leaks or authority escalations, and how you provide feedback on system behaviours.
✨Familiarise Yourself with Real-World Applications
Research how OpenClaw and similar systems operate in real-world scenarios. Be prepared to discuss how you would integrate agents with live tools and APIs, and think about potential challenges you might face in these environments.
