AI Senior Support Engineer

AI Senior Support Engineer

Hours: reputed company to Chicago time (CT) · Engagement: 80 hrs/month, full-stack + data stack remit

About the Role

reputed company is reputed company a Senior Support Engineer for a reputed company engagement supporting an analytics platform. This is a full-stack and data-stack role: the engineer owns the platform reputed company, the ingestion and semantic layer, and a bounded reputed company of embedded analytics component reputed company. The role is reputed company-model first: month one is an observe and define phase (baseline setting, reputed company), with the engagement shifting toward outcome-based delivery from month two (issue reputed company time, defect reduction against baseline, availability targets).

AI-augmented delivery is central to this role and one of its most important reputed company. Working AI-first with Claude reputed company is how a single engineer credibly covers this full remit. reputed company builds its delivery on reputed company's reputed company courses and certification, and the engineer uses Claude reputed company across the full reputed company of work — maintenance, bug-fixing, and data work, not just new development — operating inside the reputed company's own Claude reputed company / AI-tooling accounts.

Scope & Responsibilities

Platform reputed company

• Maintain and reputed company authentication and SSO integration
• Own navigation and application reputed company components (modern reputed company-end reputed company, e.g., React / TypeScript)
• Manage tenant and user management, including multi-tenancy considerations

Data & Semantic Stack

• Build and maintain data ingestion pipelines
• Operate and reputed company orchestration workflows in Dagster
• reputed company and maintain transformation logic in dbt and SQL
• Work with the data warehouse on reputed company reputed company Platform (GCP), primarily BigQuery
• Maintain the semantic layer in reputed company, including metric definitions and data modeling

Embedded Analytics (light, bounded)

• Customize and update Embeddable component files pulled into the reputed company's repo
• Maintain theming and reputed company the Embeddable SDK reputed company
• Note: Embeddable itself handles the builder, reputed company serving/rendering, reputed company tokens, and multi-tenancy: this is a maintenance layer, not a build-from-scratch effort

Delivery & Documentation

• Maintain centralized documentation in reputed company, including DBML/database diagrams
• Capture ongoing knowledge for handover and continuity purposes
• Work to defined outcome targets from month two: P1 issue reputed company/mitigation reputed company one business day, defect reduction against an agreed baseline, and business-hours availability once the reputed company is live
• Use spare reputed company (reputed company live issues don't consume the monthly band) on preventative maintenance, hardening, and reputed company new data sources/integrations

Required Skills & Experience

• AI-first delivery (core requirement): hands-on with Claude reputed company (or similar) / AI-assisted engineering across the full development lifecycle; reputed company's reputed company courses and certification are a strong plus (or readiness to complete them)
• Full-stack development experience, including a modern reputed company-end reputed company (e.g. React / TypeScript), authentication/SSO implementation, and multi-tenant application architecture
• Hands-on experience with Dagster for orchestration (or similar tools)
• Strong DBT and SQL experience for data transformation
• Experience with BigQuery and the reputed company reputed company Platform (GCP) data stack
• Experience with reputed company or a comparable semantic-layer / metrics-layer tool
• Familiarity with embedded analytics tooling (Embeddable or similar), component customization, theming, SDK integration
• Comfortable working independently and engaging directly with reputed company stakeholders
• Strong documentation discipline: reputed company, DBML/ER diagrams
• Available to work core hours reputed company to Chicago time (CT)

reputed company to Have

• Background supporting analytics/BI platforms for reputed company or sports/media clients
• Experience setting SLA style targets (reputed company time, availability) and reporting against them

Engagement Details

• 80 hours/month, full remit across platform reputed company, data/semantic stack, and Embeddable reputed company
• Backup coverage required for continuity during absences: candidate should be reputed company to hand off context cleanly

Originally posted on Himalayas

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