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.

What Success Looks Like (6–12 Months)

Floaters across at least three functions run production automations on the platform you built — daily, without your help. A library of shared skills and agents exists, is discoverable, and is growing because Floaters contribute to it themselves. Background agents are reliably doing work that used to consume real human hours, with eval coverage and audit trails Security signs off on. Leadership can see what's automated, what it costs, and what it saves. You've raised the bar for how the whole company thinks about scaling themselves with AI.

About You

You're a builder first. You've seen that the highest-leverage engineering right now is the kind that multiplies everyone else, and you want to do it somewhere with real ownership and zero red tape. You're as comfortable pairing with a Finance analyst to understand a reconciliation workflow as you are designing an agent orchestration layer. You have strong opinions about evals, loosely held opinions about frameworks, and no patience for demos that never make it to production.

In addition to living our values, you also have

7+ years of software engineering experience, including significant time building internal platforms, tools, or business systems that measurably increased team output. 1–2+ years of hands-on experience building LLM-powered systems in production — not prototypes: real users, real reliability requirements, real consequences. Strong production coding skills in Python and/or TypeScript, plus the full-stack range to ship a usable interface when the workflow needs one. Deep, practical knowledge of agentic systems: tool use / function calling, orchestration, context engineering, structured outputs, memory, and asynchronous/background agent patterns. An eval-first mindset: you define success metrics and evaluation frameworks before you build, and you instrument observability, guardrails, and cost controls as part of the system — not as an afterthought. Integration engineering chops: REST APIs, webhooks, event-driven patterns, and auth (OAuth, OIDC, SAML) across an enterprise SaaS stack. Sound security and governance judgment: scoped and auditable access, data privacy, human-in-the-loop design, and prompt-injection awareness — you know what an agent should never be allowed to do in a financial company. Workflow discovery skills: you can sit with a non-technical team, understand how they actually work, and translate ambiguity into an automation spec with measurable targets. Exceptional communication: you can explain what you built (and why it's safe) to engineers, executives, auditors, and the person whose workflow you just changed. Cloud fluency (we're on AWS) and comfort with CI/CD and modern deployment practices.

Bonus points if you have

Experience with agent frameworks and SDKs — Claude Agent SDK, OpenAI Agents SDK, LangGraph, Pydantic AI — and with MCP server design specifically. Experience with durable-execution or workflow-orchestration systems (e.g., Temporal) for reliable long-running background agents. RAG, embeddings, and vector-search experience, or fine-tuning and model-hosting experience. An iPaaS / automation-platform background (Workato, n8n, Zapier, Retool) — and clear opinions on when no-code is the right answer. Corporate engineering / IT systems depth: identity providers (Okta, Google Workspace admin), ITSM and approval workflows, or SaaS administration at scale. Familiarity with compliance frameworks (SOC 2, ISO 27001) and what they mean for AI systems. You're a genuine power user of AI coding tools (Claude Code, Codex, Copilot) — you'll be building the environment that makes everyone else one too. Fintech or other regulated-industry experience. Experience running enablement: workshops, training programs, internal documentation that people actually read.

This may not be the role for you if

You prefer a stable, predictable routine — this space reinvents itself quarterly, and so will your roadmap. You need detailed specs handed to you. Here, you'll write them — often after discovering the problem yourself. You want to build AI systems without talking to the humans who use them. You'd rather perfect a system for months than ship something valuable this week and iterate. Being accountable for security and governance trade-offs (not just feature velocity) sounds like someone else's job.

Flexible Work Model

Float is Toronto-based with a hybrid work model: our Toronto team works together in-office on collaboration days, and this role may occasionally require additional in-person time for workflow-discovery sessions with teams. Remote candidates within Canada will be considered, with occasional travel to Toronto.

Why You Should Join

Work at one of Canada's fastest-growing fintech companies Make a real impact in a high-autonomy, high-growth role Collaborate with an ambitious and supportive team Competitive compensation, equity options, and benefits Hybrid work model – we are based in Toronto with in-office days for connection and collaboration Enjoy catered team lunches every Tuesday, Wednesday and Thursday Bring your pup to our dog-friendly office Thrive in a high-trust, high-performance culture where your work truly matters In Short At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.