At a Glance
- Tasks: Enhance AI agents by providing essential human feedback and improving complex systems.
- Company: Outlier AI, a leader in AI technology with a focus on innovation.
- Benefits: Remote work options and collaboration with top AI organisations.
- Other info: Opportunity to work on advanced generative systems in a dynamic environment.
- Why this job: Join a cutting-edge team and make a real impact in AI development.
- Qualifications: 2+ years in backend engineering and proficiency in Python and JavaScript.
The predicted salary is between 50000 - 60000 € per year.
Outlier AI is searching for a skilled backend engineer to enhance AI agents by providing essential human feedback. The ideal candidate should have a minimum of 2+ years in backend engineering or related fields, alongside a strong command of multiple programming languages, including Python and JavaScript.
Responsibilities will include improving the performance of complex systems in real-world applications. The position offers remote working options and the chance to collaborate with leading AI organizations in training advanced generative systems.
Remote AI QA Engineer — LLM Agent Orchestration in Newcastle upon Tyne employer: Outlier AI
Outlier AI is an exceptional employer that champions innovation and collaboration in the rapidly evolving field of artificial intelligence. With a strong focus on employee growth, we offer remote working options that provide flexibility while allowing you to work alongside industry leaders in enhancing AI technologies. Our inclusive work culture fosters creativity and encourages continuous learning, making it a rewarding environment for those passionate about pushing the boundaries of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI QA Engineer — LLM Agent Orchestration in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and backend engineering space on LinkedIn or relevant forums. A friendly chat can sometimes lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and JavaScript. 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 common backend engineering questions and scenarios. Practising coding challenges can also help you feel more confident when it comes to demonstrating your skills.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings and resources that can help you land that remote AI QA Engineer role. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Remote AI QA Engineer — LLM Agent Orchestration in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your backend engineering experience and any programming languages you’re proficient in, especially Python and JavaScript. We want to see how your skills can enhance our AI agents!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Remote AI QA Engineer role. We love seeing candidates who take the extra step.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, especially Python and JavaScript. Brush up on your backend engineering skills and be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex systems in real-world applications. Think of examples where you improved performance or solved tricky issues, as this will demonstrate your ability to enhance AI agents effectively.
✨Understand AI and LLMs
Since the role involves working with AI agents, it’s crucial to have a solid understanding of AI concepts and large language models (LLMs). Familiarise yourself with current trends and challenges in the field, so you can engage in meaningful discussions during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and how they collaborate with other organisations. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
