About the role

Founding Platform Engineer to design, build, and ship core systems at CEF AI. Contribute to AI infrastructure for real-time data processing and developer tooling in a hybrid role.

Responsibilities

Build the Core Platform Architect and implement backend systems that power the AI first data platform.
Design scalable, secure infrastructure for running AI agents on sensitive data.
Build APIs, services, and execution layers that enable real time data processing.
Ensure systems are reliable, performant, and production ready.
Developer Infrastructure & Tooling Build SDKs, CLI tools, and developer facing interfaces.
Design clean developer workflows for interacting with the platform.
Enable external developers to build applications on top of our infrastructure.
Maintain strong documentation and technical clarity. Developer experience is part of the product.
Rapidly prototype new capabilities using modern development tools.
Use AI coding tools to accelerate iteration and experimentation.
Work closely with founders to turn early concepts into working systems.
Ship quickly, iterate fast, and continuously improve. Speed and clarity matter more than perfect plans.

4+ years of experience building production software.
Strong computer science fundamentals (data structures, algorithms, system design).
Comfortable building backend infrastructure and distributed systems.
Fluent with modern engineering tools and AI-assisted development.
Experience designing systems that scale.
Strong written communication and technical documentation skills.
High agency - you ship without waiting for permission.
Nice to Have Experience with distributed or decentralized architectures.
Web3 / blockchain infrastructure experience.
EVM, Substrate, or multi chain wallet development.
AI/ML or agent-driven systems.
GraphQL.
Public code, technical writing, or open source contributions.

Real Equity: We treat early team members like partners. You’ll receive meaningful equity so the upside you help create is shared.
Build Systems, Not Features: This is not a ticket taking role. You will design and ship foundational systems that other developers and AI agents will depend on.
Work on Hard, Emerging Problems: We are building infrastructure for AI agents operating on sensitive, real time data without relying on centralized black box platforms. While parts of this ecosystem exist, the architecture for doing it securely and reliably at scale is still evolving.
Small Team, High Output: We believe the best teams are small and extremely capable. AI tools increase individual leverage, so we hire fewer people and expect a much higher level of ownership and output.
Autonomy With Accountability: We hire people who don’t wait for permission to solve problems. If you see a better way to build something, you’re expected to propose it and ship it.
Hybrid Work, Built Around Collaboration: We believe great systems are built through close collaboration. The team works in a hybrid setup and regularly spends time together in person in Berlin and San Francisco for focused building sessions and hackathons.