Sr. AI Tool Engineer

8+ years implementing, integrating, administering, or supporting enterprise software platforms.

Strong experience implementing and supporting engineering productivity platforms such as Jellyfish, Amplitude, or comparable enterprise tools.

Experience integrating enterprise platforms using APIs, webhooks, SSO, RBAC, cloud services, and automation.

Experience onboarding engineering teams and applications to enterprise platforms.

Experience building engineering dashboards, executive scorecards, operational KPIs, and adoption analytics.

Strong scripting and automation skills (Python, PowerShell, APIs, automation workflows).

Excellent communication, consulting, troubleshooting, stakeholder management, and customer success skills.

Technical Skills & Technologies

The ideal candidate has strong hands-on experience across many of the following technology areas:

Engineering Productivity Platforms: Jellyfish, Amplitude, Azure DevOps, GitHub, Jira

AI-DLC, AI-QE & AI AppOps: LangSmith, Promptfoo, LangFuse, Arize, Phoenix, AI observability and evaluation platforms

Integration & Automation: REST APIs, Webhooks, Python, PowerShell, JSON, enterprise integrations

Cloud & Identity: Microsoft Azure, Azure OpenAI, SSO, RBAC, identity integration

Engineering Analytics: Power BI or similar visualization platforms, engineering scorecards, KPIs, operational dashboards, adoption analytics

Engineering Practices: SDLC, Agile, DevSecOps, release management, platform operations, continuous improvement