AI Engineer
About the role
We are looking for an AI Engineer who thrives at the intersection of technology and operations. This is not a role in building AI for its own sake, it is about applying AI, automation, analytics, and systems thinking to drive real, measurable operational outcomes.You will work across service onboarding, toil reduction, agentic workflows, and operational visibility, turning pain points into scalabl
What you'll do
- We are looking for an AI Engineer who thrives at the intersection of technology and operations. This is not a role in building AI for its own sake, it is about applying AI, automation, analytics, and systems thinking to drive real, measurable operational outcomes.
- You will work across service onboarding, toil reduction, agentic workflows, and operational visibility, turning pain points into scalable solutions that make the entire team faster and more resilient.
- Support Enablement & Readiness:Analyze service onboarding processes to uncover bottlenecks, knowledge gaps, and manual steps that slow time-to-support.
- Deploy agentic AI capabilities to assist with documentation discovery, runbook navigation, and contextual knowledge synthesis.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Applied Physics, Data Science, or a related field2 to 4 years in data engineering, platform engineering, MLOps, or operations-focused technical role.
- Hands-on experience building automation solutions or data pipelines in a production environment.
- Exposure to AI/ML tooling, agentic frameworks, or LLM-based applications is a strong plus.
- Comfortable working in ambiguous environments, able to identify problems and propose solutions independently.
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