Role description
HowieHowie is hiring an AI engineer to join our small, product-focused team in Seattle. We’re building the modern secretary: an AI that schedules, briefs, and coordinates with the same speed and care as a human. Howie already runs the calendars of busy founders, executives, and teams, and we’re growing quickly.
You’ll be responsible for designing, evaluating, and deploying the AI systems that power Howie’s assistant. From programmatic prompt engineering and semantic retrieval to building eval frameworks and integrating LLM-based features into production.
What you’ll do
Own the development and deployment of LLM-powered features end-to-end.
Design and maintain evaluation frameworks for prompts, retrieval, and inference.
Optimize embeddings, vector stores, and semantic search for performance and scalability.
Experiment with the latest advancements in LLMs and apply them to user-facing product features.
Work directly with users to understand their workflows and build features that deliver value.
Collaborate with backend, frontend, and product teams on architecture and design decisions.
What we’re looking for
Experience shipping LLM-powered solutions into production.
Strong engineering background with TypeScript/Node.js and Python.
Familiarity with RAG, semantic retrieval, embeddings, and vector databases.
Experience with evaluation/inference platforms and prompt iteration.
Ability to move quickly and independently in a fast-paced environment.
Strong communication skills and eagerness to collaborate across disciplines.
Based in Seattle, WA or willing to relocate (we’re in Fremont).
Bonus points: You’ve built and shipped your own AI projects.
About Howie
Location: Seattle, WA 🌲
Type: Full Time
Compensation: Competitive salary + meaningful equity
Benefits: 100% employer-covered health, dental, and vision (including dependents), flexible vacation, and whatever hardware/software you need.
Howie is an early-stage applied AI company building the world’s most capable scheduling assistant. Our mission is to give people back hours of their day by automating the coordination work that slows them down. We’re a small, fast-moving team with backgrounds in startups and AI research, backed by some of the best investors in the world.