The role
- COMP
- $250K - $350K
- EQUITY
- Competitive equity
- LOCATION
- San Francisco
- WORKPLACE
- On-site
- EXPERIENCE
- 6 - 10 years
- VISA
- None, Visa transfers
- STACK
- NodeJS, Python, Kubernetes, Kafka, Redis, ElasticSearch, AWS, GCP
- INDUSTRY
- AI, Data
/roles — ROLE_104
Senior Platform Engineer, Applied AI
They are a frontier data provider for foundational AI labs
The company
Frontier-data company capturing how experts reason and turning real professional work into training data for foundation models.
- STAGE
- growth-stage
- FUNDING
- $30M+ raised
- TEAM
- ~40 people
- FOUNDED
- 2024
JD — the work
About the role
Design the shared infrastructure beneath all of a frontier-data company's generation platforms, human-in-the-loop systems, and evaluation pipelines — high-throughput distributed systems plus mentorship of the entire junior engineering team.
What you'll do
- Build the core shared infrastructure across data-generation and eval platforms
- Own foundational systems for scale and reliability
- Provide platform services to vertical engineering teams
- Architect distributed systems for large datasets and high throughput
- Establish best practices; mentor the junior team
What they're looking for
- 6-10 years building core infrastructure at growing tech companies
- Scalable, reliable, high-throughput systems track record
- Mentorship strength
Nice to have
- Human-in-the-loop data space
- High-growth startups