TL;DR
Data Engineer (AI): Building and scaling hirify.global’s internal data platform for mission-critical inference with an accent on data models, pipelines, and analytics infrastructure. Focus on transforming raw product and business data into reliable datasets that power decision-making across various teams.
Location: San Francisco; New York
Salary: $180K – $250K
Company
hirify.global powers mission-critical inference for the world's most dynamic AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling.
What you will do
- Design and maintain core data models and semantic layers.
- Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks.
- Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools.
- Define and maintain company-wide metrics across product usage, performance, and customer lifecycle.
- Enable self-service analytics through agents and tools, with well-structured semantic layers and context.
- Ensure data reliability and quality through testing, documentation, and governance.
Requirements
- Understanding of inference metrics such as latency, throughput, token usage, and model performance.
- Experience supporting B2B SaaS and/or consumption-based platforms.
- Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes.
Culture & Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents.
- Generous PTO policy including company-wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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