AI Data Engineer (AI)

TL;DR

AI Data Engineer (AI/Infrastructure): Designing and building the data infrastructure that powers enterprise intelligence with an accent on processing raw signals like screenshots and behavioural events at massive scale. Focus on building ingestion pipelines, feature stores, and orchestrating complex DAGs for LLM enrichment and AI impact analysis.

Location: In-person in San Francisco, CA

Salary: $120,000 – $250,000 + Equity

Company

hirify.global is enabling the autonomous Enterprise, building systems to analyze productivity and AI impact for Fortune 500 organizations.

What you will do

• Design ingestion pipelines to process millions of screenshots and behavioural events daily.
• Build data validation and quality systems to catch drift before it corrupts models.
• Create feature stores and serving infrastructure that balance freshness against compute cost.
• Optimize storage and query patterns for time-series behavioural data.
• Orchestrate complex DAGs that coordinate OCR, LLM enrichment, and downstream aggregations.
• Work directly with founders on technical challenges spanning data engineering and production systems.

Requirements

• Must be based in or be able to work in-person in San Francisco, CA.
• Strong Python fundamentals and software engineering discipline.
• Experience building production data pipelines using Dagster, Airflow, Prefect, or similar.
• Expertise in data modelling and designing schemas for analytical and ML workloads.
• Infrastructure experience with AWS (S3, RDS, Glue, Lambda), containerization, and IaC.
• Production database experience with PostgreSQL and graph databases like Neo4j or Neptune.

Nice to have

• Experience with LLM pipelines and model serving infrastructure.
• Background in OCR, document processing, or image pipeline experience.
• Experience shipping models to production, including deployment, versioning, and monitoring.
• Familiarity with dbt, Spark, or similar transformation frameworks.
• Experience with multi-region data architectures and residency requirements.

Culture & Benefits

• Substantial equity ownership included in every offer.
• $10,000/year employer-funded healthcare benefit via Thatch.
• $220/week meal stipend.
• Hardware choice of Mac, Linux, or Windows.
• High-velocity, craft-oriented environment solving novel problems for global enterprises.

Hiring process

• Resume screen and 1:1 interview with a founder.
• Technical deep-dive on past data engineering work.
• Collaborative session working through a real problem with the team.