Lead AI Product Engineer – Hybrid (Leeds/Mcr)

Lead AI Product Engineer – Hybrid (Leeds/Mcr)

Leeds Full-Time 59400 - 72600 £ / year (est.) Home office (partial)
N

At a Glance

  • Tasks: Lead the engineering team to build innovative AI-enabled products and shape architectural direction.
  • Company: Nixor, a forward-thinking tech company in Leeds with a focus on AI.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and enjoy a collaborative work environment.
  • Why this job: Be at the forefront of AI technology and make a significant impact in product development.
  • Qualifications: Proven experience in software engineering and strong leadership skills.

The predicted salary is between 59400 - 72600 £ per year.

Nixor in Leeds is seeking a Lead Software Engineer to provide technical leadership, shape architectural direction and stay hands-on building AI-enabled products.

You’ll work with Product Managers and senior stakeholders to translate needs into practical technical solutions and define the route to production.

You’ll lead the team’s engineering work, mentor engineers, and own technical decisions while HR and line management are handled separately.

#J-18808-Ljbffr

Lead AI Product Engineer – Hybrid (Leeds/Mcr) employer: Nixor

Nixor is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for a BOM & Product Configuration Specialist. With a strong emphasis on employee growth and development, Nixor offers unique opportunities to engage in complex problem-solving within the dynamic automotive sector, all while being part of a supportive team dedicated to achieving programme milestones.

N

Contact Details:

Nixor Recruitment Team

We think you need these skills to ace Lead AI Product Engineer – Hybrid (Leeds/Mcr)

Technical Leadership
Architectural Direction
AI-Enabled Product Development
Collaboration with Product Managers
Stakeholder Engagement
Translating Needs into Technical Solutions
Route to Production Planning