Engineering · Full-time · Remote

AI/ML Engineer (Applied)

We're hiring an applied AI/ML engineer to own our LLM stack end-to-end. You'll design prompts, build evals, route between models, and ship fine-tuned behavior that measurably improves output quality for real users — script generation, voiceover direction, transcript cleanup, smart editing decisions.

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What you'll do

  • Own the prompt, eval, and model-routing layer across Tutorial AI. Decide when to use which model and why.
  • Build a rigorous eval harness so prompt changes ship with data, not vibes. Catch regressions before users do.
  • Design and run fine-tuning, distillation, or adapter experiments when they beat prompting on cost or quality.
  • Partner with full-stack engineers to turn model capabilities into shipped product features — and back-propagate what users do into the next round of training signal.
  • Stay on top of the frontier: model releases, inference optimizations, agent patterns. Bring back what's actually useful.

What we're looking for

  • 3+ years shipping production ML or applied AI systems — not just notebooks or research code.
  • Deep working knowledge of modern LLM APIs (Anthropic, OpenAI, open-weight) and the tradeoffs between them.
  • Strong eval instincts — you've built harnesses, designed rubrics, or automated LLM-as-judge pipelines in production.
  • Comfort with Python and at least one typed language (TypeScript, Go, Rust) for integrating with product code.
  • Pragmatic shipping mindset — you pick the smallest model that solves the problem, not the fanciest.

Nice to have

  • Experience with fine-tuning, LoRA, DPO, or related adaptation techniques.
  • Background in speech (Whisper, TTS, voice cloning) or multimodal models.
  • Experience with agent frameworks, tool use, or long-horizon task orchestration.
  • Open-source contributions in the ML/AI space.

How we work

Fully remote, async-first, with thoughtful written communication. You'll work directly with the founders and ship features that show up in production within days. Equity and top-tier hardware.

Sound like a fit?

Send us a short note about an AI/ML system you shipped, the eval setup behind it, and what you'd measure first at Tutorial AI.

Apply for this role

Or email careers@tutorial.ai

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