Applied AI Engineer (Agentic AI) - Remote

Applied AI Engineer (Agentic AI) - Remote

Full-Time 50000 - 70000 € / year (est.) Home office possible
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At a Glance

  • Tasks: Shape the future of AI agents by providing human feedback 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 team environment with exciting projects and career advancement opportunities.
  • Why this job: Join us to train advanced generative systems and make a real impact in AI.
  • 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.

Applied AI Engineer (Agentic AI) - Remote employer: Employer near you

Outlier is an exceptional employer for those looking to make a significant impact in the field of AI. With a strong focus on innovation and collaboration, we offer a dynamic remote work environment that fosters creativity and professional growth. Our commitment to employee development, coupled with the opportunity to work on cutting-edge projects with leading AI organisations, makes Outlier a truly rewarding place to advance your career.

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Contact Detail:

Employer near you Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI Engineer (Agentic AI) - Remote

Tip Number 1

Network like a pro! Reach out to folks in the AI and tech community, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend engineering. This gives potential employers a taste of what you can do and sets 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 projects in detail. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with AI automation and complex systems integration.

We think you need these skills to ace Applied AI Engineer (Agentic AI) - Remote

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

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!

Be Specific:When detailing your past projects, be specific about the technologies you used and the challenges you faced. We love a good story about how you solved a tricky problem or optimised a workflow.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for the Applied AI Engineer role.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!

How to prepare for a job interview at Employer near you

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 attention to detail and ability to provide high-density feedback on complex behaviours.