Product AI Engineer - End-to-End, High-Impact, Equity
Product AI Engineer - End-to-End, High-Impact, Equity

Product AI Engineer - End-to-End, High-Impact, Equity

Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and ship production-grade AI systems from backend to frontend.
  • Company: Leading AI product studio in Greater London with a focus on innovation.
  • Benefits: Competitive salary, equity, and a fast-paced work environment.
  • Other info: Dynamic role with opportunities for growth in a cutting-edge field.
  • Why this job: Join a high-impact team and shape the future of AI technology.
  • Qualifications: 5+ years in production systems, strong Python and API skills.

The predicted salary is between 60000 - 80000 £ per year.

A leading AI product studio in Greater London is seeking an experienced developer to build and ship production-grade AI systems end-to-end. You will work across backend, frontend, and infrastructure to deliver AI-powered features that provide real business value.

The ideal candidate has over 5 years of experience in production systems, strong fullstack skills mainly in Python and APIs, and familiarity with cloud environments.

This role offers a competitive salary and equity in a high-impact, fast-moving environment.

Product AI Engineer - End-to-End, High-Impact, Equity employer: Atarus

Join a leading AI product studio in Greater London, where innovation meets collaboration. We pride ourselves on fostering a dynamic work culture that encourages creativity and professional growth, offering competitive salaries and equity to our team members. With a focus on impactful projects and a supportive environment, this is an excellent opportunity for experienced developers looking to make a significant contribution in the AI space.
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Contact Detail:

Atarus Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Product AI Engineer - End-to-End, High-Impact, Equity

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. 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 best projects, especially those involving AI systems and fullstack development. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Product AI Engineer - End-to-End, High-Impact, Equity

Production Systems Development
Fullstack Development
Python
API Development
Cloud Environments
AI Systems Engineering
End-to-End System Delivery
Business Value Realisation

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your fullstack skills, especially in Python and APIs. We want to see how your experience aligns with building production-grade AI systems, so don’t hold back!

Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that demonstrate your ability to deliver AI-powered features and work across backend, frontend, and infrastructure.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and your relevant experience shine through without unnecessary fluff.

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 this exciting opportunity in our fast-moving environment!

How to prepare for a job interview at Atarus

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and APIs. Brush up on your fullstack skills and be ready to discuss how you've used them in past projects.

✨Showcase Your AI Experience

Prepare specific examples of AI systems you've built or contributed to. Highlight your role in the end-to-end process and how your work delivered real business value. This will demonstrate your hands-on experience and understanding of production-grade systems.

✨Familiarise Yourself with Cloud Environments

Since familiarity with cloud environments is key, do some research on the platforms the company uses. Be prepared to discuss how you've deployed applications in the cloud and any challenges you faced along the way.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's projects and future direction. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.

Product AI Engineer - End-to-End, High-Impact, Equity
Atarus

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