At a Glance
- Tasks: Shape the future of AI by training advanced language models and optimising complex workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic projects with potential for significant career advancement.
- Why this job: Join a team that’s redefining AI agents and make a real impact.
- 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.
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 Engineer (Remote) in Northampton employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing LLM Engineers to contribute to groundbreaking AI projects from the comfort of their own homes. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, ensuring that our team members are at the forefront of AI technology. Join us to be part of a dynamic team that values creativity and offers the chance to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Engineer (Remote) in Northampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. If you've built anything that integrates with APIs or handles complex workflows, make sure it’s front and centre when you chat with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to LLMs and backend systems. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission to shape the future of AI agents.
We think you need these skills to ace LLM Engineer (Remote) in Northampton
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 personal 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 any relevant projects you've worked on. We want to see how your skills align with what we're looking for, so don’t hold back!
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, especially when it comes to technical feedback on system behaviours.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about 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 might be asked to solve real-world problems using these technologies during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, 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’re developing. Being able to discuss how your skills can contribute to shaping autonomous agents like OpenClaw will show your genuine interest and alignment with their goals.
✨Prepare for Technical Challenges
Expect to tackle some technical questions or challenges related to multi-turn system interactions and data handling. Practise explaining your thought process clearly, as they’ll be looking for your ability to provide high-density technical feedback on complex behaviours.
