Job Details

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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 authorization, 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.

• 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.
• ${your ideas}.

Who You Are

Minimum:

• 3+ years of engineering experience, including shipping production software.
• Experience building and deploying agent‑like systems – multi‑step LLM pipelines, tool‑using bots, scripted assistants, or similar.
• Hands‑on experience with production‑grade code and the ability to work across systems without a detailed specification.
• Thrives in fast‑paced, product‑first environments where the goal is shipping.

Bonus (not required)

• Experience with frameworks such as 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.
• Founder or early engineer experience and a deep care for 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

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Engineering and Information Technology

Industries

• Technology, Information and Internet

Location: San Francisco, CA

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