At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- 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 technologies.
- 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.
Locations
LLM Integration Engineer (Remote) in Hampshire, Portsmouth employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about shaping the future of AI. Our remote work environment offers flexibility and the opportunity to engage with cutting-edge technology while contributing to meaningful projects that enhance autonomous agents. We are committed to employee growth, providing ample opportunities for professional development and the chance to work alongside industry leaders in AI integration.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration Engineer (Remote) in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications. Be ready to discuss how you've tackled challenges in past projects, especially around multi-turn interactions and system behaviours.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace LLM Integration Engineer (Remote) in Hampshire, Portsmouth
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and LLMs shine through! We love seeing candidates who are genuinely excited about shaping the future of autonomous agents. Share any relevant projects or experiences that highlight your passion.
Tailor Your CV:Make sure to customise your CV to match the job description. Highlight your experience in backend engineering and complex systems integration, and don’t forget to mention the programming languages you’re proficient in. We want to see how your skills align with what we’re looking for!
Be Clear and Concise:In your written application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate applicants who can communicate complex ideas simply and effectively, so make sure your application reflects that!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 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 challenges. Think about specific instances where you built production-grade software or handled multi-turn system interactions, and be ready to explain your thought process.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might want to prepare a few scenarios where you identified subtle failures or optimised workflows, showcasing your meticulous nature.
✨Familiarise Yourself with Real-World Applications
Research how LLMs are integrated with live tools like Supabase or Gmail. Being able to discuss practical applications and your hands-on experience with APIs will show that you're not just theoretically knowledgeable but also ready to tackle real-world problems.
