At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising 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 team environment with exciting projects and career advancement potential.
- Why this job: Join us to make a real impact on cutting-edge AI 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.
AI Solutions Engineer (Remote) in Portsmouth employer: Outlier AI
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 inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer (Remote) in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've built or integrated.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. We recommend practicing with platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨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, we’re always on the lookout for passionate individuals ready to shape the future of AI agents.
We think you need these skills to ace AI Solutions Engineer (Remote) in Portsmouth
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and autonomous agents shine through. We love seeing candidates who are genuinely excited about shaping the future of technology, so share your experiences and projects that reflect this passion!
Highlight Relevant Experience:Make sure to clearly outline your experience in backend engineering or AI automation. We want to see how your skills align with our needs, so don’t hold back on showcasing your work with languages like Python or JavaScript and any complex systems you've tackled.
Be Detail-Oriented:Attention to detail is key! When you describe your past projects, focus on the specifics—how you built production-grade software, handled multi-turn interactions, or integrated with live tools. This will help us understand your technical prowess and problem-solving abilities.
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’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’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your backend engineering skills and be ready to discuss how you've built production-grade software in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Be ready to explain your thought process and the steps you took to achieve successful outcomes.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on system behaviours. Bring specific examples where your attention to detail made a difference in your projects.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated with tools like Supabase or Gmail. Be prepared to discuss any hands-on experience you have with APIs and how you've solved real-world problems using these technologies.
