Software Engineer, Applied AI

Create shared primitives for context assembly, grounding, tool use, and reviewable outputs.

Build systems that turn domain specific AI behavior into product infrastructure rather than one off customer logic.

Move quickly from prototype to production quality systems with founders and engineers.

Take ownership of important product and platform surfaces without needing heavy direction.

Write clean, maintainable code and create clear abstractions.

Use tools like Claude Code, Codex, ChatGPT, Cursor, and similar systems to move faster, while applying the same standards to generated code as hand written code.

This role requires treating LLMs not as black boxes to call, but as architectural components with failure modes and costs to manage.

You have a track record of shipping production software and have built at least one AI product or workflow used by real users, ideally in an enterprise or scaled consumer environment.

You have strong software fundamentals and are fluent in Python and/or TypeScript . Our current stack spans React/TypeScript, Python services, gRPC, AWS, Kubernetes, Terraform, Snowflake, and Docker; exact stack match is less important than range and judgment.

You are comfortable with ambiguity and accompanying ownership.

Strong candidates may also have:

shipped production LLM or agentic workflows at an AI native startup, scaled AI product company, or serious applied-AI team;

built evals or feedback loops that caught real regressions;

debugged production failures in agent workflows, especially around grounding, tool use, or model/runtime boundaries;

built systems that operate over enterprise data with defined security boundaries;

worked in domains where wrong answers have serious consequences, such as scientific, medical, legal, financial, or public sector workflows;

owned meaningful product or platform surface area earlier than their title would suggest.

Compensation: $170 K – $230 K

Location: Hybrid (Seattle, WA)

Visa: We do not sponsor visas for this role at this time

Benefits: Company-paid health coverage (including dependents)

Equity: Meaningful ownership for early engineers, with flexibility to extend for exceptional scope and impact.