Hands-On AI Product Manager: Agentic Systems in London

Hands-On AI Product Manager: Agentic Systems in London

London Full-Time 70000 - 105000 Β£ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Collaborate on developing cutting-edge agentic AI systems from start to finish.
  • Company: Dormont Manufacturing Co, a leader in innovative AI solutions.
  • Benefits: Healthcare, retirement planning, and a hybrid work environment.
  • Other info: Exciting opportunity for career growth in a fast-evolving field.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: 7+ years in software/ML engineering with product development experience.

The predicted salary is between 70000 - 105000 Β£ per year.

Dormont Manufacturing Co is seeking a hands-on AI Product Co-Developer to contribute to the development of agentic AI systems. The role emphasizes close involvement in the product lifecycle from discovery to deployment in a hybrid work environment.

The ideal candidate will have over 7 years of experience in software/ML engineering and be well-versed in product development, particularly with LLMs.

Company benefits include healthcare and retirement planning.

Hands-On AI Product Manager: Agentic Systems in London employer: Dormont Manufacturing Co

Dormont Manufacturing Co is an excellent employer that fosters a collaborative and innovative work culture, allowing employees to engage deeply in the product lifecycle of cutting-edge AI systems. With a strong emphasis on employee growth, the company offers comprehensive benefits including healthcare and retirement planning, making it an attractive place for professionals seeking meaningful and rewarding careers in a hybrid work environment.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

We think you need these skills to ace Hands-On AI Product Manager: Agentic Systems in London

AI Product Development
Software Engineering
Machine Learning (ML)
Large Language Models (LLMs)
Product Lifecycle Management
Hybrid Work Environment Adaptability
Collaboration Skills