Data Platform Engineer (AI)

Location: San Francisco, United States; on-site, 5 days per week in the office

Salary: $200K–$400K annually

Company

hirify.global is building an AI-native revenue platform that unifies CRM, sequencing, call recording, enrichment, and pipeline management in a single enterprise software system.

What you will do

• Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.
• Develop the data and ML platform infrastructure powering models, agents, and production workflows.
• Support training data, evaluation workflows, embeddings, and feature pipelines.
• Solve distributed systems challenges involving reliability, latency, consistency, and scale.
• Improve observability, tooling, and developer experience across data, ML, and agent systems.

Requirements

• 5+ years of experience building data platforms, ML infrastructure, or backend systems.
• Deep experience with technologies such as PostgreSQL, Redis, Celery, Temporal, Elasticsearch or Turbopuffer, Kafka, Spark, Databricks, or Snowflake.
• Ability to lead major architecture decisions and execute them quickly.
• Experience maintaining and scaling production systems through rapid workload growth.
• Must work on-site in San Francisco five days per week.

Culture & Benefits

• High-autonomy, high-pace engineering environment.
• Opportunity to scale core systems and build new features from 0 to 1.
• Work on an AI-driven product with strong early product-market fit.
• In-person collaboration focused on product quality and team cohesion.