AI Senior Support Engineer Hours: Aligned to Chicago time (CT) / Engagement: 80 hrs/month, full-stack + data stack remit About the Role Altoros is staffing a Senior Support Engineer for a client engagement supporting an analytics platform.

This is a full-stack and data-stack role: the engineer owns the platform shell, the ingestion and semantic layer, and a bounded amount of embedded analytics component upkeep.

The role is commercial-model first: month one is an observe and define phase (baseline setting, onboarding), with the engagement shifting toward outcome-based delivery from month two (issue resolution time, defect reduction against baseline, availability targets). AI-augmented delivery is central to this role and one of its most important elements.

Working AI-first with Claude Code is how a single engineer credibly covers this full remit.

Altoros builds its delivery on Anthropic's professional courses and certification, and the engineer uses Claude Code across the full range of work - maintenance, bug-fixing, and data work,



not just new development - operating inside the client's own Claude Code / AI-tooling accounts.

Scope & Responsibilities Platform Shell Maintain and extend authentication and SSO integration Own navigation and application shell components (modern front-end framework, e.g., React / Type

Script) Manage tenant and user management, including multi-tenancy considerations Data & Semantic Stack Build and maintain data ingestion pipelines Operate and extend orchestration workflows in Dagster Develop and maintain transformation logic in dbt and SQL Work with the data warehouse on Google Cloud Platform (GCP), primarily Big

Query Maintain the semantic layer in Cube, including metric definitions and data modeling Embedded Analytics (light, bounded) Customize and update Embeddable component files pulled into the client's repo Maintain theming and keep the Embeddable SDK current

📌 AI Senior Support Engineer (Argentina)
🏢 Doist
📍 Argentina