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- Tasks: Build and launch real AI products that customers use at scale.
- Company: Venture-backed AI product studio with a focus on innovation.
- Benefits: Competitive salary, equity, and high-impact role in AI.
- Other info: Opportunity to work across multiple products and industries.
- Why this job: Own projects from idea to scale in a fast-paced environment.
- Qualifications: 5+ years in production systems with strong fullstack skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with a venture-backed AI product studio building and launching AI products inside established software businesses. This isn’t about prototypes or demos. You’ll build real AI products used by customers at scale, owning things end-to-end from day one.
The Role:
- You’ll operate at the intersection of AI, engineering, and product, taking ideas through to production in fast-paced build cycles.
- Build and ship production-grade AI systems end-to-end.
- Work across backend, frontend, and infrastructure.
- Develop AI-powered features that deliver real business value.
- Collaborate closely with stakeholders and customers.
- Iterate quickly, testing and refining ideas in live environments.
- Take full ownership from idea through to scale.
What They’re Looking For:
- 5+ years building production systems.
- Strong fullstack skills across Python, APIs, and modern frontend frameworks.
- Experience with AI/ML or GenAI systems in production.
- Comfortable with cloud infrastructure and deployment patterns.
What’s On Offer:
- Competitive salary + equity.
- High-impact role in a fast-moving AI environment.
- Opportunity to work across multiple products and industries.
Product Engineer employer: Atarus
Contact Detail:
Atarus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. 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 past projects, especially those involving AI/ML. This is your chance to demonstrate your fullstack capabilities and how you've delivered real business value.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with production systems and how you've iterated on ideas in live environments.
✨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 are proactive about their job search!
We think you need these skills to ace Product Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it drives you. Share any relevant projects or experiences that highlight your skills in building production-grade AI systems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Product Engineer role. Highlight your fullstack skills and experience with AI/ML systems, and don’t forget to mention any cloud infrastructure work you've done!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: Don’t forget to apply 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 AI 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, APIs, and modern frontend frameworks. Brush up on your fullstack skills and be ready to discuss how you've used them in past projects.
✨Showcase Your AI Experience
Since the role involves building AI products, prepare to talk about your experience with AI/ML or GenAI systems. Bring examples of how you've developed AI-powered features that delivered real business value, and be ready to discuss the challenges you faced.
✨Demonstrate Ownership
This position requires taking full ownership from idea to scale. Be prepared to share specific instances where you’ve led a project end-to-end. Highlight your ability to iterate quickly and refine ideas based on feedback in live environments.
✨Engage with Stakeholders
Collaboration is key in this role. Think of examples where you’ve worked closely with stakeholders and customers. Show how you’ve effectively communicated technical concepts to non-technical audiences and gathered requirements to drive product success.