What are the responsibilities and job description for the Sr. AI Tool Engineer position at CitiusTech?
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