⚠️ Please read first

This is a full-time, in-person role based in San Francisco (Presidio) - we work from the office 5 days a week.
You must be based in the Bay Area or willing to relocate before starting.
We require US work authorisation , but are open to O-1 visa sponsorship for truly exceptional candidates.

What You’ll Do

As an Applied AI Engineer , you’ll be responsible for building, refining, and scaling the agent systems inside Wordware — from architecture to evals to deployment.

This isn’t a research role. We care about what works in production: fast response times, predictable behavior, traceability, and uptime.

You’ll work across the stack — with infra, frontend, and product — to make sure the agents users build inside Wordware are robust, useful, and usable.

A Few Examples Of What You Might Work On

Implement multi-step, tool-using agents that hit real APIs and handle retries, auth, timeouts, and edge cases.
Build RAG pipelines that support grounded answers from structured and unstructured sources.
Design agent memory systems that persist relevant state across runs — e.g. scratchpads, summary buffers, embedding stores.
Add determinism + replay to agents so users can trace and debug behaviors step by step.
Own and evolve our eval framework — both automated checks and human-in-the-loop scoring.
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Who You Are

Minimum

3+ years of engineering experience , including time shipping production software.
You've built and deployed agent-like systems — multi-step LLM pipelines, tool-using bots, scripted assistants, or similar.
Hands-on experience with:
You write production-grade code and can work across systems without needing a spec.
You thrive in fast-paced, product-first environments where the goal is shipping.

Bonus (not required)

Experience with frameworks like LangChain , CrewAI , or DSPy — or strong opinions about why you don’t use them.
Shipped agents that are live in the wild — used by customers, not just internal demos.
Familiarity with LLM ops , tracing, observability, and failure handling.
You’ve been a founder or early engineer and care deeply about product quality.

The Process

We keep our process simple. Exceptional candidates go from first touch to offer within 2 weeks.

Application
15-min intro call
45-minute technical interview
System design interview
Final conversation
Work trial

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