Enterprise AI Engineer β€” Build Production-Grade Digital Workers

Enterprise AI Engineer β€” Build Production-Grade Digital Workers

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Space Executive

At a Glance

  • Tasks: Build and deploy enterprise-grade AI systems and digital workers for global organisations.
  • Company: Join Space Executive, a leader in innovative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with exposure to cutting-edge technologies and career advancement.
  • Why this job: Make a real impact by transforming complex workflows into scalable AI systems.
  • Qualifications: Experience in AI engineering and strong problem-solving skills.

The predicted salary is between 70000 - 90000 Β£ per year.

Space Executive is recruiting an AI Engineer to build and deploy enterprise-grade AI systems and digital workers in production.

You’ll partner with global organisations to untangle complex workflows and translate them into reliable, scalable agentic systems, integrating models, data, and infrastructure for real-world use.

The role spans LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration.

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Enterprise AI Engineer β€” Build Production-Grade Digital Workers employer: Space Executive

Join a pioneering deep tech startup in the UK that is revolutionising industries by eliminating outdated systems and enabling real-world work to move at software speed. With a world-class team and a culture of high trust and ownership, you'll have the opportunity to make a significant impact from day one, backed by substantial funding and a clear path for growth. This is not just a job; it's a chance to be part of something transformative in a high-intensity environment where your contributions truly matter.

Space Executive

Contact Details:

Space Executive Recruitment Team

We think you need these skills to ace Enterprise AI Engineer β€” Build Production-Grade Digital Workers

AI System Development
Digital Worker Deployment
Workflow Analysis
Model Integration
Data Integration
Infrastructure Management
LLMs (Large Language Models)