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AI / ML Engineer

AI & DataRemoteFull-timeSenior

Build LLM-powered features and ML systems — from RAG pipelines to production inference.

About the role

You'll take AI features from prototype to production — designing RAG pipelines, evaluating models and shipping reliable, observable inference that real users depend on.

What you'll do

  • Design and ship LLM-powered features (RAG, agents, tooling)
  • Build and evaluate data and retrieval pipelines
  • Own model selection, prompting and guardrails
  • Productionize inference with monitoring and cost controls
  • Partner with product to find high-impact AI use cases

What we're looking for

  • 4+ years in ML/AI engineering, with production experience
  • Hands-on with LLMs, embeddings and vector stores
  • Strong Python and data engineering fundamentals
  • Pragmatic about evaluation, latency and cost

Nice to have

  • Fine-tuning experience
  • MLOps tooling
  • Published research or OSS

Ready to apply for AI / ML Engineer?

Send your CV and a short note — we read every application and reply within a few days.

How we hire

A fast, respectful process — typically wrapped up in two to three weeks.

01

Apply

Send your CV and a note. We read every application — no black holes.

02

Intro call

A 30-minute chat about you, us and what you're looking for.

03

Technical / portfolio

A practical exercise or portfolio review — real work, no trick puzzles.

04

Team interview

Meet the people you'd work with and dig into how we build.

05

Offer

A clear, fair offer — usually within a week of your final interview.

What we offer

Remote-first
Work from anywhere. We've been distributed since day one.
Competitive pay + equity
Top-of-market salaries and a real stake in what we build.
Learning budget
Annual budget for courses, books, conferences and certifications.
Top-tier gear
A setup that lets you do your best work — your choice of hardware.
Flexible time off
Take the time you need. We measure outcomes, not attendance.
Health coverage
Comprehensive health, dental and wellness support.
Team retreats
We get together in person a few times a year to build and bond.
Real ownership
Lead projects, ship to production and see your work in the world.