Staff Applied AI Engineer, AI Experiences & Agents
Build and ship production-grade AI agents and experiences that help creators personalize, automate, and grow. Requires strong product engineering skills, hands-on LLM/agent experience, and rigorous evaluation practices.
About the job
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.
Skills
LLMs, AI Agents, RAG, Prompt Engineering, Multi-Agent Systems, Evaluation Frameworks, Python, Production Systems, Latency Optimization, Safety & Trust
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