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: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in a fast-paced environment.
- Why this job: Make a real impact in the AI field while working with cutting-edge technology.
- 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.
LLM Integration Engineer (Remote) (Aberdeen City) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture is built on continuous learning and growth, providing employees with ample opportunities to enhance their skills in cutting-edge AI technologies while working alongside industry leaders. With a focus on meaningful projects that shape the future of autonomous agents, we ensure that our team members are not only valued but also empowered to make a significant impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration Engineer (Remote) (Aberdeen City)
✨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 job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with backend engineering and AI automation.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in shaping the future of autonomous agents. It shows initiative and enthusiasm!
We think you need these skills to ace LLM Integration Engineer (Remote) (Aberdeen City)
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 our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your past work that align with our mission at Outlier, and let us know why you’re excited about this role.
Showcase Your Technical Skills:Since we’re looking for someone with a strong command of programming languages, make sure to mention your proficiency in Python, JavaScript, or any other relevant languages. If you've worked with SQL databases, don’t forget to include that too!
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 us you’re keen to join 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 need to demonstrate your ability to work with databases during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Think about how you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the projects they’re working on, like OpenClaw. Being able to articulate how your skills can contribute to shaping autonomous agents will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their approach to training LLMs or how they handle multi-turn system interactions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
