Software Engineer, Frontier Data Products

Location: San Francisco CA or New York NY
Company Stage of Funding: Series C AI Marketplace ($10B Valuation)
Office Type: Onsite (5 Days Per Week)
Salary: $130000$400000 Equity

Company Description

Were representing one of the fastest-growing AI companies building the infrastructure that powers the global AI economy. Their platform connects leading AI labs and enterprises with a worldwide network of expert talent to generate the high-quality data required to train and evaluate frontier AI models.

As AI systems become increasingly dependent on expert judgment the company is building the orchestration platform that coordinates complex long-running workflows between humans and AI models. This team owns the systems that sit directly between customer requests and production outputs ensuring every stage of the data generation process is reliable observable and scalable. Engineers on this team will help define the architecture for one of the companys most strategic product areas while solving distributed systems challenges at the intersection of AI workflow orchestration and backend infrastructure.

What You Will Do

• Design and build backend services that orchestrate complex multi-stage workflows involving AI models and human experts.
• Develop distributed state management systems capable of coordinating long-running jobs that evolve over hours or days.
• Build workflow orchestration primitives including retries failure recovery idempotency auditing and state reconciliation.
• Integrate large language model inference into production systems while maintaining reliability observability and human oversight.
• Design scalable APIs and internal tooling that enable Product Operations and Machine Learning teams to manage production workflows.
• Build highly reliable backend infrastructure where correctness and recoverability are as important as system availability.
• Debug complex distributed systems spanning asynchronous processing model inference and human review workflows.
• Own services throughout their lifecycle including architecture implementation production operations monitoring and continuous improvement.
• Partner closely with engineering product operations and AI research teams to translate ambiguous requirements into elegant technical systems.
• Help define the long-term architecture for one of the companys core AI infrastructure platforms.

Ideal Background

• 4 years of backend software engineering experience building production distributed systems.
• Strong experience designing scalable backend services using Python and PostgreSQL.
• Deep understanding of distributed systems concepts including asynchronous workflows queues retries idempotency and long-running processes.
• Proven experience designing reliable systems with strong observability and operational excellence.
• Strong system design skills with the ability to balance simplicity scalability and maintainability.
• Experience owning production services from design through deployment and ongoing operation.
• Comfortable working in highly ambiguous environments with significant ownership and autonomy.
• Excellent communication skills and ability to collaborate across engineering product and operations teams.
• Strong engineering judgment with an emphasis on building systems that remain maintainable as they scale.

Preferred

• Experience with workflow orchestration frameworks such as Temporal Cadence Airflow or similar technologies.
• Background building orchestration platforms distributed state machines or event-driven backend systems.
• Experience integrating AI or machine learning inference into production applications.
• Familiarity with AWS cloud infrastructure and modern backend architecture.
• Experience building internal platforms developer tooling or infrastructure supporting high-throughput production systems.
• Strong understanding of fault tolerance observability and debugging distributed production environments.
• Startup experience building greenfield systems with significant architectural ownership.
• Passion for solving difficult infrastructure problems that directly impact customer-facing AI products.

Compensation and Benefits

• Base salary: $130000$400000.
• Generous equity package vested over four years.
• Bi-annual performance bonus.
• Up to $15000 relocation assistance.
• $10000 housing bonus for employees living within 0.5 miles of the office.
• $1500 monthly meal stipend.
• Complimentary Equinox membership.
• $200 monthly laundry reimbursement.
• $200 monthly wellness reimbursement.
• Comprehensive medical dental and vision insurance.
• Opportunity to define the architecture for one of the companys most critical AI infrastructure platforms while building systems that directly power the worlds leading frontier AI models.