Staff AI Application Engineer, Product

About the role

The role involves owning and building internal products to support model evaluation, regression testing, dataset discovery, and agentic context curation. This is a hybrid, high autonomy role and the first on this team. Key responsibilities include:

• Unify the internal data and evaluation platform.
• Pull the internal beta access, evaluation, regression, and dataset discovery/cataloging products into one maintainable system used by science, product, and engineering teams.
• Build a secure access layer over very large data.
• Make our internal data discoverable and queryable across cloud environments, with the necessary access controls and PII handling for production and customer content.
• Bring real customer signal into the loop by integrating feedback and usage data from our self-serve product.
• Support the product org's internal agentic content curation.
• Help build and harden the internal agent the product team uses to pull context across its tools and data, moving it from prototype to a product the wider org can use with proper access controls.

Requirements

Requirements include:

• A strong backend engineer with real depth in at least one language (Python, Go, or similar).
• Experience designing data models, services, and APIs that hold up under real use.
• A genuine system design instinct.
• A track record of building zero to one internal products and shipping them.
• Comfort owning a product outright: scoping it, building it, shipping it, and supporting internal users, while keeping sight of how it fits into science, product, and go-to-market.
• Experience with large unstructured datasets.
• Full stack capability.

Qualifications

Qualifications include:

• Data platform, lakehouse, or pipeline experience across object storage, warehouses, and more than one cloud.
• Experience reasoning about multimodal unstructured data (video, audio, images, text).
• Direct video experience is not required.
• Building or integrating AI agents, MCP servers, retrieval systems, or evaluation tooling.
• Data governance, access control, or PII handling on production data.

Skills

Skills include:

• Strong backend engineering skills.
• Experience with large unstructured datasets.
• Experience with multimodal unstructured data (video, audio, images, text).
• Experience with data governance, access control, or PII handling on production data.

Benefits and Perks

Benefits and perks include:

• An open and inclusive culture and work environment.
• Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
• Full health, dental, and vision benefits.
• A flexible PTO and parental leave policy.
• An office closed the week of Christmas and New Years.

Pay

$200K - $250K

Schedule

Hybrid, high autonomy role.