Senior AI Engineer, Agentic Systems β€” Hybrid in London in City of Westminster

Senior AI Engineer, Agentic Systems β€” Hybrid in London in City of Westminster

City of Westminster Full-Time 69750 - 85250 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build autonomous agents and integrate diverse data sources for innovative AI solutions.
  • Company: Kharon, a leader in global security intelligence with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on research-driven product development.
  • Why this job: Join a cutting-edge team and make a real impact in the AI field.
  • Qualifications: Experience in AI engineering and strong problem-solving skills.

The predicted salary is between 69750 - 85250 Β£ per year.

Kharon, a leader in global security intelligence, seeks a London-based Senior AI Engineer for Agentic Systems.

The role focuses on building autonomous agents, integrating diverse data sources, and deploying scalable workflows.

You will contribute to research-driven product development and operationalize AI capabilities in production environments.

Hybrid work arrangement with 3 days per week in London office.

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Senior AI Engineer, Agentic Systems β€” Hybrid in London in City of Westminster employer: Kharon

Kharon is an exceptional employer, offering a dynamic work environment in London where innovation meets purpose. As a DevOps Engineer, you'll enjoy a hybrid work arrangement, competitive salary, and comprehensive benefits including fully-sponsored private health insurance and a pension plan. The company fosters a culture of collaboration and continuous learning, empowering employees to grow their skills while contributing to meaningful projects that shape global security.

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Contact Details:

Kharon Recruitment Team

We think you need these skills to ace Senior AI Engineer, Agentic Systems β€” Hybrid in London in City of Westminster

AI Development
Autonomous Systems
Data Integration
Scalable Workflows
Research-Driven Product Development
Operationalisation of AI Capabilities
Production Environment Deployment