At a Glance
- Tasks: Build AI voice agents and shape the product from day one.
- Company: Exciting early-stage startup focused on real-world AI solutions.
- Benefits: Competitive salary, flexible hours, and a chance to make a real impact.
- Why this job: Join as a founding engineer and directly influence innovative AI technology.
- Qualifications: Experience in software engineering and a passion for AI development.
- Other info: High ownership role with opportunities for rapid career growth.
The predicted salary is between 50000 - 70000 £ per year.
We’re working with an early-stage startup building AI voice agents for real-world businesses. This is a founding engineer role where you’ll shape the product, architecture, and how the company builds from day one.
What You’ll Do:
- Build core product features across backend, frontend, and infrastructure
- Work directly with customers to understand problems and deliver solutions
- Ship quickly when needed, but invest in scalable foundations where it matters
- Set engineering standards across testing, reliability, and security
- Cloud infrastructure
- Third-party integrations
- High ownership and direct product impact
- Work on real-world AI use cases, not demos
Founding Software Engineer — AI Voice Platform in London employer: Atarus
Contact Detail:
Atarus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Software Engineer — AI Voice Platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and software engineering space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know who might have a lead on that perfect founding engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI voice platforms. This is your chance to demonstrate your expertise and passion for building real-world solutions. Don’t forget to share it when you apply through our website!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss how you’d approach building scalable architectures. We want to see your thought process!
✨Tip Number 4
Be proactive! If you find a company that excites you, don’t wait for them to post a job. Reach out directly, express your interest, and share how you can contribute as a founding engineer. It shows initiative and could set you apart from other candidates!
We think you need these skills to ace Founding Software Engineer — AI Voice Platform in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and voice technology. Share any relevant projects or experiences that highlight your interest in building real-world solutions, as this will resonate with our mission.
Highlight Your Versatility: As a founding engineer, you'll be wearing many hats! Make sure to showcase your skills across backend, frontend, and infrastructure. We want to know how you can contribute to different areas of the product from day one.
Emphasise Problem-Solving Skills: We’re all about understanding customer problems and delivering effective solutions. In your application, include examples of how you've tackled challenges in the past and how you approached finding solutions.
Keep It Clear and Concise: While we love detail, clarity is key! Make sure your application is well-structured and easy to read. This will help us quickly grasp your qualifications and fit for the role. And remember, apply through our website for the best chance!
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. Brush up on your knowledge of backend, frontend, and cloud infrastructure. Be ready to discuss how you've used these technologies in past projects and how they can apply to building AI voice agents.
✨Showcase Problem-Solving Skills
Since this role involves working directly with customers to understand their problems, prepare examples of how you've tackled real-world issues in previous roles. Think about specific challenges you faced and how you delivered effective solutions, especially in a fast-paced environment.
✨Demonstrate Ownership
This position requires high ownership and direct product impact. Be prepared to share instances where you took initiative on projects, set engineering standards, or made decisions that significantly influenced the outcome. Highlight your ability to ship quickly while maintaining quality.
✨Engage with AI Use Cases
Familiarise yourself with real-world applications of AI, particularly in voice technology. During the interview, express your enthusiasm for working on practical AI use cases rather than just theoretical concepts. This will show your passion for the field and your readiness to contribute from day one.