Founding AI Engineer β€” Build AI-Powered Customer Experience

Founding AI Engineer β€” Build AI-Powered Customer Experience

Full-Time 67500 - 82500 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build core features for an AI-powered customer service platform and shape user experiences.
  • Company: Elyos AI, a pioneering tech company based in London.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team and influence the future of customer service.
  • Why this job: Join us to innovate customer experiences with cutting-edge AI technology.
  • Qualifications: Experience in software engineering, particularly with Python and TypeScript.

The predicted salary is between 67500 - 82500 Β£ per year.

Elyos AI in London is hiring a founding software engineer to build core features of our AI-powered customer service platform.

You’ll own the stack (Python, Type Script, cloud infra) and shape how customers experience Elyos from day one.

Work directly with customers to scope solutions, move fast where it matters, and raise the bar for testing, reliability and security while exploring cutting-edge AI and scalable architectures.

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Founding AI Engineer β€” Build AI-Powered Customer Experience employer: Elyos AI

Elyos AI is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and customer service. With a competitive salary, equity options, and a strong focus on AI-driven learning and development, employees are empowered to grow alongside the company. The vibrant team environment, coupled with exciting travel opportunities for global conferences and engaging team socials, makes Elyos AI a truly rewarding place to work in London.

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Contact Details:

Elyos AI Recruitment Team

We think you need these skills to ace Founding AI Engineer β€” Build AI-Powered Customer Experience

Python
TypeScript
Cloud Infrastructure
AI Development
Customer Experience Design
Testing and Reliability
Security Best Practices