Backend Engineer, Frontier Data Orchestration

Mercor; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Bi-annual bonus

Equity grant

Relocation bonus

Housing allowance

Meal stipend

Wellness reimbursement

Health insurance

Dental insurance

Vision insurance

Job summary

Mercor is building the core backend infrastructure for frontier AI data workflows, combining automated steps with expert review and model inferences. You’ll design multi-stage systems that stay live for days, ensuring correctness and auditability.

Join a fast-moving team shaping the architecture and owning end-to-end reliability, with opportunities to influence product, operations, and ML workstreams in a broadly impactful role.

Qualifications

• Experience building backend systems for long-running workflows.
• Ability to design durable orchestration across humans and models.
• Strong debugging and observability practices.

Responsibilities

• 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 after the fact
• 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

Skills

Production backend experience

System design

Distributed systems

Python

AWS

Temporal

Tools

Temporal or similar workflow engines

Python

AWS

PostgreSQL

Job description

Mercor is building the core backend infrastructure for frontier AI data workflows, combining automated steps with expert review and model inferences. You’ll design multi-stage systems that stay live for days, ensuring correctness and auditability.

Join a fast-moving team shaping the architecture and owning end-to-end reliability, with opportunities to influence product, operations, and ML workstreams in a broadly impactful role.