AI Deployment Engineer - Hybrid (3 days in-office)

AI Deployment Engineer - Hybrid (3 days in-office)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Doist

At a Glance

  • Tasks: Work with cutting-edge AI to optimise workflows and enhance product quality.
  • Company: Join OpenAI, a leader in advanced AI technology.
  • Benefits: Hybrid work model, relocation assistance, and competitive salary.
  • Other info: Exciting opportunity for career growth in a dynamic environment.
  • Why this job: Make a real impact by collaborating with innovative startups on AI solutions.
  • Qualifications: Technical proficiency and a product-minded approach are essential.

The predicted salary is between 60000 - 80000 £ per year.

Open AI is seeking a technically proficient, product-minded engineer to push the frontier of advanced AI with strategic startup customers.

The role is based in London with a hybrid model (3 days in the office per week) and relocation assistance.

You’ll work with frontier startups to optimize workflows, prototype prompts and agents, and translate real usage into evaluative signals that improve model behavior and product quality.

#J-18808-Ljbffr

AI Deployment Engineer - Hybrid (3 days in-office) employer: Doist

Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.

Doist

Contact Details:

Doist Recruitment Team

We think you need these skills to ace AI Deployment Engineer - Hybrid (3 days in-office)

Technical Proficiency
Product Mindset
Workflow Optimisation
Prototyping
Prompt Engineering
Agent Development
Data Evaluation