Staff Applied AI Engineer, AI Experiences & Agents

What You’ll Own

• Build and ship creator-facing and visitor-facing AI experiences end-to-end, from prototype through production.
• Design multi-agent workflows that combine prompting, tool use, retrieval, memory/state, orchestration, and human-in-the-loop controls where appropriate.
• Create eval suites, regression harnesses, and quality metrics so AI quality improves deliberately rather than by anecdote.
• Partner closely with product, design, data, and trust teams to translate ambiguous user problems into simple, high-value experiences.
• Optimize latency, reliability, cost, and safety so AI features are fast, dependable, and viable at scale.
• Turn production feedback, support signals, and behavioral data into model, prompt, policy, and product improvements.

Who We’re Looking For

• Strong software engineering fundamentals and a track record of shipping production systems end-to-end.
• Hands-on experience building LLM-powered products, agents, chat systems, RAG workflows, or similar AI experiences.
• Experience building evals for AI output quality harnessing.
• Strong product sense: you can identify the real user problem, simplify the solution, and make practical trade-offs around effort, scope, and quality.
• Ability to frequently weigh trade-offs and understand the benefits of keeping systems architecture simple.
• Good judgment on safety, trust, privacy, abuse, and failure modes in AI systems.
• Strong communicator who collaborates well with cross-functional partners and explains trade-offs clearly.