AI Tools Engineer

Qualifications
•    Bachelor''s degree in Computer Science, Engineering, Information Systems, or related field preferred.
•    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.
•    Ability and willingness to work onsite in Chicago, IL office.

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