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AI Summary
At Improbable, we build and scale ambitious AI and Web3 ventures shaping the next generation of the internet.
The Somnia Foundation, backed by Improbable, specialises in building and operating high-performance decentralised technology. Its EVM L1, launched in 2025, has been benchmarked as the fastest on the planet: at over 1 million ERC-20 transactions per second.
At Somnia you'll be working alongside a talented team working across the core blockchain along with novel protocols leveraging its capabilities.
About the Role
We're looking for a Full-Stack Engineer to build across the breadth of what Somnia ships, from consumer-facing products to developer technologies to internal platform and tooling. One month that's a polished end-user app, the next it's an SDK, a CLI, or the internal systems the rest of the team builds on.
This is a role for someone who cares as much about the product as the code.
You'll own the full lifecycle, from rapid prototyping to deployment. You use AI tools as a multiplier and like shipping end-to-end.
What you’ll be doing
Design and build production-grade products end-to-end—back-end through UI—across consumer apps, developer-facing technologies and internal platform tooling.
Build the high-performance back-ends and services these products depend on.
Create developer technologies—SDKs, APIs, CLIs, libraries and starter kits—that make the platform easy to build on.
Build internal tooling and platform infrastructure that raises the velocity of the whole team.
Work self-directed: watch the ecosystem and the team's needs, spot gaps and propose and build what moves things forward.
Work with DevRel, Marketing and BD so what you build lands with users and developers and fits go-to-market.
What we’re looking for
Strong TypeScript across the full stack—this is the core of the role and our app stack. Some Golang where it fits.
Build high-quality, production-ready frontends.
Strong back-end engineering—APIs, services and the data layer behind them.
Genuine interest in crypto and on-chain products.
Strong ownership and self-direction—you generate ideas, not just execute them.
Able to turn the dial: prototype fast and loose to prove a feature out, then shift into steady-state mode to harden what's worth keeping—tests, edge cases, reliability.
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