Staff Engineer, AI Platform

Staff Engineer, AI Platform

The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways of leveraging the blockchain. Fireblocks' platform and network provide the simplest and most secure way for companies to work with digital assets, and it's trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more.

Founded in 2018 and already valued at over $8 billion, Fireblocks is a SaaS platform that helps companies create innovative products on the blockchain and manage day-to-day crypto operations. We have offices in New York, London, Tel Aviv, and Singapore, and we are continuing to expand our teams to reach new customers globally.

What You'll Do

You'll own our internal AI platform — the shared foundation teams across the company rely on to build and run AI-powered tools securely and at scale. This is a hands-on Staff-level role: you'll architect and write production code, own the roadmap, and keep the platform reliable, secure, and easy to build on as it serves the entire organization.

Beyond the platform itself, you'll help drive an AI mindset across the company — spotting where AI creates real leverage, setting technical direction, and raising the bar for how teams build with it. Doing that well means working like a product owner as much as an engineer: proactively engaging stakeholders across engineering, product, go-to-market, and operations, turning what they need into a clear plan, and communicating it credibly all the way up to the executive level.

What You'll Bring

• Vast, Staff-level engineering experience. A long track record building and running high-scale systems, still deeply hands-on with the code.
• Real AI experience and mindset. Genuine command of how modern AI systems are built — frontier-model APIs, multi-agent orchestration, RAG, and the surfaces developers build against, from CLIs to MCP — plus the instinct for where AI creates leverage.
• Product sense and proactive communication. You work like a product owner as much as an engineer — finding stakeholders, shaping what they need into a roadmap, and communicating it clearly from whiteboard to executive level.
• Model routing and gateway experience. You've built or run a gateway that routes inference across providers on cost, latency, capability, and data sensitivity.
• Measuring and improving AI systems. Comfort with unpredictable outputs — telling whether a change helped, catching regressions, and keeping quality, cost, and safety in check.
• Security-first by design. You treat a high security bar as a design principle, not an afterthought — guardrails, least-privilege access, human-in-the-loop escalation, monitoring, and audit for autonomous systems.
• Solid DevOps foundation. Comfortable owning the infra too — cloud, Kubernetes, CI/CD, and IaC — with a healthy security posture.
• Cross-functional influence. You lead through ownership, partnering closely with security, legal, and finance.

Advantages

• Background in a high-trust, regulated environment (fintech, security, or custody) where data sensitivity, auditability, and reliability are first-order concerns.
• A feel for how large organizations work — navigating many stakeholders, competing priorities, and cross-team dependencies to get a platform adopted at scale.
• Experience with digital assets, blockchain, or Web3 — familiarity with the domain Fireblocks operates in.

If you're an experienced engineer and a genuine AI expert who wants to shape how an entire company builds with AI — come and join us.