Software Engineer, Frontier Data Products

Job summary

Responsibilities

Frontier AI companies are increasingly bottlenecked on expert judgment and high-quality data workflows. This team builds the production systems that capture, coordinate, and validate that work at scale — directly between a customer request and the output that ships.

• Design services and state models for multi-stage workflows that fan out across automated processing and expert reviewers, then reconcile results into a coherent whole
• Build orchestration primitives — retries, failure recovery, idempotency, auditable state transitions — for jobs that run far longer than a request and can be partially redone…
• Integrate model inference into production workflows without sacrificing debuggability or human oversight
• Build the APIs and tooling that let product, operations, and ML teams operate, debug, and trust these systems at scale
• Own reliability and observability for workflows where a silent failure means a corrupted result, not just a 500

What they're looking for

• Production backend experience with strong opinions about what ages well and why
• Sharp instincts for system design, service boundaries, and where to put complexity — and where to refuse it
• Fluency with the distributed systems toolkit: async workflows, queues, idempotency, retries, and long-running jobs as practice, not resume line items
• Ability to take ambiguous product, operational, and ML constraints and turn them into a system that is clean and debuggable
• Comfort working in Python on AWS with Postgres; experience with Temporal or similar workflow engines is a plus

Tech stack

• Python
• AWS
• PostgreSQL