Staff Applied AI Engineer

Posted 3hrs ago

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Job Description

Staff Applied AI Engineer owning AI portfolios and shipping agentic applications. Modernizing collectibles authentication, grading, vaulting, and trading through applied AI.

Responsibilities:

  • Own the AI opportunity across an entire business domain, mapping workflows and sizing opportunities
  • Decide what to build, in what order, and why
  • Personally build the first, riskiest, or most technically demanding AI use cases from prototype through production, adoption, and measured impact
  • Extract reusable connectors, evaluation harnesses, and workflow patterns from successful builds
  • Define success metrics and prove cumulative portfolio value to domain leadership
  • Design agents with traces, evaluations, and human-in-the-loop gates for evidence-based autonomy
  • Use Claude, OpenAI, and the company’s orchestration platform daily
  • Influence platform choices through expertise in models, harnesses, and tooling
  • Build trust with function leaders, secure sponsorship, and manage competing priorities
  • Review designs and code, unblock engineers, interview candidates, and mentor team members
  • Design and implement production-grade applications around agents and AI workflows
  • Report to the Head of Applied AI

Requirements:

  • Proven ownership of a business domain, program, or product area at portfolio scope
  • Shipped multiple end-to-end agentic or AI-powered solutions to real users in more than one context
  • Daily fluency with Claude, OpenAI, or similar AI models
  • Informed opinions about AI frameworks, evaluations, and orchestration
  • Ability to translate business problems into scoped, sequenced software portfolios
  • Ability to architect and build agent systems independently
  • Hands-on experience building and shipping production applications, preferably full-stack
  • Sound architectural judgment across frontend and backend systems
  • Strong application engineering across frontend APIs, state, latency, reliability, security, and scalability
  • Experience delivering measurable business outcomes
  • Track record of improving other engineers through review, mentorship, patterns, or tooling
  • Strong communication with operators, engineers, and executives
  • Active learning and awareness of current AI models, tools, and techniques
  • Legal authorization to work in the United States, validated through e-Verify

Benefits:

  • Medical, Dental, and Vision insurance
  • Fertility assistance
  • Commuter assistance
  • Educational assistance benefits
  • Competitive 401k matching plan
  • Flexible time-off
  • Ten company paid holidays
  • Discounts on select grading services for approved submissions
  • Flexible schedules with varying shifts
  • Celebrations, holiday events, and team building activities