AI Solutions Engineer (Remote) in Doncaster

AI Solutions Engineer (Remote) in Doncaster

Doncaster Full-Time 50000 - 70000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
  • Company: Outlier, a leader in AI solutions with a focus on innovation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with potential for significant career advancement.
  • Why this job: Join a team that collaborates with top AI organisations to make a real impact.
  • Qualifications: 2+ years in backend engineering or AI automation, with strong coding skills.

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 Doncaster 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.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions Engineer (Remote) in Doncaster

Tip Number 1

Network like a pro! Reach out to folks in the AI and software 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 AI automation or complex systems. This gives potential employers a taste of what you can do beyond the written application.

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 real-world applications.

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 love seeing candidates who take that extra step!

We think you need these skills to ace AI Solutions Engineer (Remote) in Doncaster

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

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 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, especially around training Large Language Models. This will help you align your answers with their objectives and show that you're genuinely interested in contributing to their vision.

Ask Insightful Questions

Prepare thoughtful questions about the role and the team dynamics. Inquire about the tools they use for multi-stage coordination tasks or how they handle privacy concerns. This not only shows your interest but also your understanding of the complexities involved in AI solutions.