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Runta in the SF Bay Area is seeking a Mid-level developer to design and ship the SDK and CLI that developers use to run, snapshot, branch, and replay agents. You will translate runtime concepts into friendly APIs, write examples and docs, and iterate quickly with the founder and runtime teams.
Ideal candidates have strong API taste, experience building developer tools, and a knack for clear documentation. This role emphasizes fast iteration, clean surfaces, and a focus on developer experience.
Level: Mid-level (2–5 years experience)
Location: SF Bay Area
Runta builds runtime infrastructure that lets AI agents execute reliably over long time horizons: run agents efficiently, govern what they can reach, and record what they did. Workloads that run for hours or days break the assumptions web infrastructure is built on. An agent can fan out fifty sub‑tasks in a second and then go idle for ten minutes, must survive instance recycling mid‑run, and needs to snapshot, resume, and branch its execution state the way developers branch code. We’re building the substrate that makes this possible.
We’re a small, well‑funded team, moving fast.
Our runtime team builds the engine. Our infrastructure team makes it scale. You decide what it feels like to use.
Runta does three things: run, govern, record. Underneath, that’s microVMs, snapshot graphs, and audit machinery. Your job is to make sure developers never have to think about any of that. They should think “I can pause my agent, branch it into three versions, and resume the best one,” and the SDK, CLI, docs, and examples you build are what makes that thought possible.
This role decides whether Runta is an impressive piece of infrastructure or a platform people build on. Powerful primitives with a bad interface lose to weaker primitives with a great one. You own the interface.
You’ll be the developer‑zero for every capability the runtime team ships: the first person to use it, the person who decides what gets exposed and what stays hidden, and the person who makes the 5‑minute quickstart actually take 5 minutes.
If you read those and started sketching answers, we want to talk to you.
Nice to have: open source maintainership with a reputation for good DX, developer advocacy or technical writing experience, experience building with AI agents or LLM APIs.
The developers you serve are agent builders. If you’re one yourself, you’ll know what they need before they file the issue. The best fit is someone who uses AI tools daily, has built things with agents on their own time, and has opinions about why today’s agent frameworks are frustrating.
Small team, high trust, high ownership. We value people who are hungry, humble, and sharp. We look for clear communicators who hold strong opinions loosely and use AI‑native workflows in their daily engineering. You’ll work directly with the founder, alongside the core runtime and cloud infrastructure teams.
$150k–$200k base, meaningful early‑stage equity, standard benefits. Mid-level; calibrated to experience.