Senior Corporate Engineering & AI Systems Engineer
Socket.dev
Job Description
About Float
Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth.
As one of Canada’s fastest growing companies and top-rated startups in 2025, 2024 and 2023, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple.
At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success.
Our Product
Float is Canada’s intelligent financial operating system, combining modern financial services and software to help businesses spend, save, and grow. Trusted by more than 7,500 Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts, and industry-leading support, all built in Canada, for Canada. Float recently announced our $85 million Series C, and is backed by world-class investors, including Inovia Capital, Growth Equity at Goldman Sachs Alternatives, OMERS Ventures, and Silicon Valley Bank.
Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada.
AI Use in Our Hiring Process
We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team.
About the Role
This might just be the most interesting internal AI opportunity in Canada (if we do say so ourselves)!
We’re looking for an exceptional Senior Corporate Engineering & AI Systems Engineer to build the internal harness, platform, and background agents that let every Floater scale themselves. Your customers are the Floaters building Float — and your job is to make each of them feel like a team of ten.
This isn't an "evaluate some AI tools and write a policy doc" role. You’ll be hands-on, in the room when a team describes a problem, and shipping the automation that makes it disappear — often in the same week. You’ll build the platform that turns one Floater's clever workflow into a skill the whole company can use.
You’ll own the internal AI platform that enables Floaters across every function — Engineering, Sales, Success, Finance, Risk, and People — to automate their workflows and share what they build. Concretely, that means three things:
The harness — the safe, governed foundation that connects AI models to Float's internal systems: identity-aware access, MCP servers and tool connectors, guardrails, audit trails, evals, and cost controls.
The platform — the paved road that lets any Floater compose, run, and share automations and skills without starting from scratch: reusable agents, prompt and skill libraries, templates, and self-serve building blocks.
The background agents — always-on, asynchronous agents that do real work while Floaters sleep: triaging queues, reconciling data across systems, drafting responses, monitoring workflows, and escalating to a human when judgment is needed.
You’ll sit within Corporate Engineering and partner with IT & Platform Engineering, Security, and leaders in every department. You’ll spend as much time understanding how Floaters actually work as you do writing code — then you’ll ship, measure, and iterate.
What You’ll Be Responsible For
Building the internal AI harness: a secure platform layer connecting LLMs to our SaaS stack (Slack, Google Workspace, Salesforce, NetSuite, Zendesk, and our own product) through authenticated, scoped, auditable tool connectors and MCP servers.
Shipping background agents that autonomously execute multi-step workflows — with the tool routing, memory, retries, human-in-the-loop approvals, and audit trails to make them trustworthy in a fintech environment.
Creating the skills-sharing layer: the registry, templates, and paved-road patterns that let one team’s automation become everyone’s capability.
Embedding with teams across Float to map their workflows, find the highest-leverage automation opportunities, and turn ambiguous business problems into shipped systems.
Making it measurable: defining eval frameworks before you build, instrumenting agent performance and reliability, and giving leadership visibility into adoption, outcomes, and AI unit economics (yes, including token spend).
Owning governance with Security and Risk: non-human identity management, scoped permissions, prompt-injection defense, data privacy guardrails, and usage policies that enable rather than block.
Driving adoption: office hours, docs, training, and champion-building so the platform gets used — a platform nobody adopts is just expensive infrastructure.
Staying ahead of the frontier: evaluating new models, agent frameworks, and protocols, and deciding what Float should bet on next.