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We want all of our users to succeed, by continuing to offer innovative ways of solving their problems. Whether it's new add-ons or unit tests, improving existing features, or fixing bugs, it all helps.
We hope you'll join our remote team.
The Role
- You'll own the AI core of a new product that will be used weekly by thousands of paying customers. Inference pipeline, retrieval, prompt versioning, eval suite, cost discipline, model-improvement loop… all of it.
- This is a shipping role, not a research role. We're not training models or publishing papers. We're building a production system that has to be accurate, cheap to run, and steadily better month over month. You'll report to our senior engineering lead and work alongside a small, focused team.
What You'll Do:
- Design and run the inference pipeline. Retrieval-augmented generation with structured tool calls, citation-grounded responses, tier-aware model routing.
- Own prompt versioning and the eval suite. Real evals, with adversarial cases and release-blocking gates. Vibes-based evals don't ship here.
- Own cost telemetry and cost discipline. Per-user caps, model routing enforcement, caching, abuse detection. The product has a free tier; you're accountable for keeping it profitable at scale.
- Build the feedback loop that makes the system improve over time.
- Iterate on quality continuously based on real-customer signals.
What We Need:
- You have personally shipped at least one production LLM-powered product or feature that real users rely on. You can describe its prompts, evals, and cost telemetry in detail because you built them.
- You've experienced and recovered from at least one of: prompt drift, model version regression, retrieval quality degradation, cost overrun, hallucination incident, eval-suite failure that blocked a release.
- Strong full-stack engineering. Comfortable in Python or TypeScript, comfortable with Postgres and SQL, comfortable owning integrations end-to-end.
- Vector store experience (pgvector, Pinecone, or equivalent).
- Hands-on Anthropic API experience preferred; OpenAI API also fine.
- You think about prompt drift, eval coverage, cost discipline, and feedback loops as engineering surfaces. Not afterthoughts.
What We Don't Need:
- Research scientists. We're not training models.
- LangChain wrappers. We own our orchestration in-house.
- Resumes heavy on AI buzzwords and light on shipped systems.
What We Offer:
Working for a fast-growing bootstrapped company is a rare opportunity, one we consider a lifestyle choice rather than a job choice. Our positions are challenging, but also come with amazing advantages and fulfillment to those who earn them. Here’s what we offer.
- Competitive Salary.
- Remote – Work from your home. US-Mountain Time overlap preferred
- We encourage employees to take the time they need for vacation, to stay healthy, and to spend time with friends and family.
- We happily provide or reimburse software you’ll need as well as books or courses that promote continued learning.
- We give you the opportunity to solve challenging and meaningful problems that makes a difference.
- Laptop at your five year anniversary.
- We cover all costs of company travel (including our annual all-company retreat and mini-team meetups).
- Ability to work with some of the best people in the business through frequent, if not daily, interactions.
- And in case you were wondering: no politics, no b.s., and no jerks.
How To Apply?
If all of this sounds interesting, then please submit your application below.
