Staff Backend Engineer: AI-Driven Systems Lead (London)

Staff Backend Engineer: AI-Driven Systems Lead (London)

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Fresha

At a Glance

  • Tasks: Lead architectural initiatives and drive performance improvements in AI-driven systems.
  • Company: Join Fresha, a dynamic tech company based in London.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for mentorship.
  • Other info: Fast-paced environment with excellent career growth potential.
  • Why this job: Make a real impact by shaping scalable, reliable systems with cutting-edge AI technology.
  • Qualifications: Experience in backend engineering and a passion for mentoring others.

The predicted salary is between 80000 - 100000 £ per year.

Fresha is seeking a Staff Backend Engineer to join our cross-functional team, based in London with four days in the office per week and remote on Wednesdays.

You will own architectural initiatives, drive performance improvements, and lead technical delivery across tribes.

You’ll work with AI agents to amplify output, mentor engineers, and help shape Fresha's routing toward scalable, reliable systems in a fast-paced environment.

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Staff Backend Engineer: AI-Driven Systems Lead (London) employer: Fresha

Fresha is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Remote Business Development Manager role in Belfast. With a focus on employee growth and autonomy, Fresha offers a unique opportunity to make a significant impact in a fast-paced environment while enjoying the flexibility of remote work. The company prioritises collaboration and provides comprehensive support, ensuring that employees have the tools and resources needed to thrive in their roles.

Fresha

Contact Details:

Fresha Recruitment Team

We think you need these skills to ace Staff Backend Engineer: AI-Driven Systems Lead (London)

Architectural Design
Performance Improvement
Technical Delivery
AI Integration
Mentoring
Scalability
Reliability Engineering