At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement.
- Why this job: Join us to make a real impact on cutting-edge AI projects.
- Qualifications: 2+ years in backend engineering and strong coding skills required.
The predicted salary is between 50000 - 60000 € 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
Software Engineering Consultant (Remote) (City of Edinburgh) in Bonnyrigg employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Software Engineering Consultants to thrive in a remote setting from the beautiful City of Edinburgh. With a strong focus on employee growth, we offer opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while providing a supportive environment that values creativity and technical expertise. Join us to be part of a team that not only values your contributions but also invests in your professional development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Consultant (Remote) (City of Edinburgh) in Bonnyrigg
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend engineering. This is your chance to demonstrate your expertise and passion for the field, so make it shine!
✨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 in detail. We want to see how you think and tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s shape the future together!
We think you need these skills to ace Software Engineering Consultant (Remote) (City of Edinburgh) in Bonnyrigg
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, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to training AI agents or working with LLMs. This shows us you’re genuinely interested in what we do!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate high-density technical feedback, so make sure your points are easy to understand.
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. We can’t wait to hear from you!
How to prepare for a job interview at Employer near you
✨Know Your Tech Stack
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 demonstrate your understanding of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.
✨Understand the Project
Familiarise yourself with Outlier's projects and their focus on AI agents. Being able to discuss how you can contribute to training advanced generative systems will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Think about asking how they handle multi-turn system interactions or what challenges they face in AI automation.
