Lead AI Agent Systems & Telemetry Engineer

Lead AI Agent Systems & Telemetry Engineer

Full-Time 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the development of AI systems and design telemetry for performance improvements.
  • Company: Elastic, a forward-thinking tech company in Ottawa, ON.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a hybrid team with exciting projects and career advancement opportunities.
  • Why this job: Join a dynamic team to shape the future of AI technology and make a real impact.
  • Qualifications: Experience in AI engineering and strong collaboration skills required.

The predicted salary is between 123750 - 151250 $ per year.

Elastic in Ottawa, ON, is seeking a Principal AI Engineer to own the production improvement loop for Context Engine.

You will write production code and design evaluation telemetry, influencing agent behavior, tools, and memory management in a hybrid, cross-functional team.

You will work with data scientists, backend engineers, and product managers to ship changes safely, define telemetry, and drive evaluation-driven product decisions for Elastic’s AI stack.

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Lead AI Agent Systems & Telemetry Engineer employer: Elastic

Elastic is an exceptional employer for Senior Site Reliability Engineers, offering a dynamic work culture that prioritizes flexibility and employee well-being. With fully paid health coverage, generous parental leave, and a commitment to professional growth through mentorship opportunities, employees can thrive both personally and professionally. The distributed workforce model allows for a balanced work-life integration, making it an ideal place for those seeking meaningful and rewarding employment in a cutting-edge technology environment.

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Contact Details:

Elastic Recruitment Team

We think you need these skills to ace Lead AI Agent Systems & Telemetry Engineer

Production Code Development
Telemetry Design
Agent Behavior Influence
Memory Management
Collaboration with Data Scientists
Collaboration with Backend Engineers
Collaboration with Product Managers