API Product Engineer (AI)

Location: San Francisco, United States; on-site

Company

hirify.global develops foundation models and learning algorithms that enable robots and other physically actuated devices to operate in the real world.

What you will do

• Build Pi’s model API, including data ingestion, fine-tuning, evaluation, low-latency remote inference, partner tools, and deployment integrations.
• Design reliable, multi-tenant infrastructure with rate limiting, isolation, backpressure, versioning, observability, and SLOs.
• Turn partner data workflows into an intuitive product experience from upload and validation through processing, fine-tuning, and evaluation.
• Build and operate low-latency inference systems for models controlling robots in real-world environments.
• Work with researchers to turn new model capabilities into stable APIs, tools, documentation, and abstractions.
• Write production-quality code and define the developer platform for general-purpose robotics.

Requirements

• Strong software engineering fundamentals and experience building production systems.
• Deep backend and systems experience with APIs, services, databases, caching, distributed systems, and infrastructure.
• Experience building and scaling developer platforms, especially for model fine-tuning, inference, or compute-intensive workloads.
• Understanding of reliability, latency, multi-tenancy, versioning, observability, and operational complexity at scale.
• Familiarity with deploying, serving, and debugging machine learning models in production, plus strong Python skills.
• Ability to work on-site in San Francisco.

Nice to have

• Experience with low-latency or real-time systems, streaming, inference transport, WebSockets, QUIC, or similar technologies.
• Experience with model serving, inference, fine-tuning, or developer-platform infrastructure.
• Experience at an early-stage infrastructure, AI, robotics, or autonomous systems company.
• Familiarity with Python, Postgres, ClickHouse, GCP, Kubernetes, Modal, React, and TypeScript.
• Experience with security, authentication, authorization, or multi-tenant infrastructure.

Culture & Benefits

• Work at the intersection of AI, infrastructure, robotics, and external partners.
• Collaborate closely with researchers and engineers to productize rapidly evolving model capabilities.
• Take end-to-end ownership of ambiguous platform problems and develop them into scalable systems.
• The role focuses on product and platform development rather than customer success, partner-specific robotics, or traditional ML infrastructure.