Senior Corporate Engineering & AI Systems Engineer

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 hiring a Senior Corporate Engineering & AI Systems Engineer to build the internal platform that lets every Floater scale themselves — so each person feels like a team of ten.

You'll own three things: the harness (the secure, governed layer connecting AI models to Float's internal systems, with identity-aware access, tool connectors, guardrails, and audit trails), the platform (the paved road that lets any Floater compose, run, and share automations), and the background agents (always-on workers that triage queues, reconcile data, and draft responses while Floaters sleep, escalating to a human when judgment is needed).

This is not an evaluate-some-tools-and-write-a-policy role — you'll be in the room when a team describes a problem, and shipping the fix, often the same week.

What You'll Do

• Build the harness: authenticated, scoped, auditable connectors and MCP servers linking LLMs to Slack, Google Workspace, Salesforce, NetSuite, Zendesk, and Float's own product.

• Ship background agents that run multi-step workflows end to end — with the tool routing, memory, retries, human-in-the-loop approvals, and audit trails that make them trustworthy in fintech.

• Build the skills-sharing layer that turns one team's automation into everyone's capability, and drive the adoption that makes it worth building.

• Embed with teams to map how they work and turn ambiguous problems into shipped systems — defining evals before you build and instrumenting reliability and cost as you go.

• Own governance with Security and Risk: non-human identity, scoped permissions, prompt-injection defense, and privacy guardrails that enable rather than block.

About You

You're a builder first — you've seen that the highest-leverage engineering right now multiplies everyone else, and you want to do it somewhere with real ownership and zero red tape.

• 7+ years of software engineering, including internal platforms or tools that measurably increased team output.

• 1–2+ years building LLM-powered systems in production — real users, real reliability requirements, not prototypes.

• Strong production Python and/or TypeScript, plus the full-stack range to ship a usable interface when a workflow needs one.

• Deep, practical knowledge of agentic systems: tool use / function calling, orchestration, context engineering, structured outputs, memory, and background-agent patterns.

• An eval-first mindset — success metrics before you build; observability, guardrails, and cost controls as part of the system.

• Integration and auth chops across an enterprise SaaS stack: REST, webhooks, event-driven patterns, OAuth / OIDC / SAML.

• Security and governance judgment — scoped, auditable access, human-in-the-loop design, and a clear sense of what an agent should never do in a financial company.

• Workflow-discovery skills: sit with a non-technical team and turn how they work into an automation spec with measurable targets.

• Cloud fluency (AWS) and comfort with CI/CD.

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.

• Durable-execution or workflow-orchestration experience (e.g., Temporal) for reliable long-running agents.

• Corporate-engineering / IT-systems depth: identity providers (Okta, Google Workspace admin), ITSM and approval workflows, or SaaS administration at scale.

• An iPaaS / automation-platform background (Workato, n8n, Zapier, Retool), with clear opinions on when no-code is the right answer.

• Fintech or other regulated-industry experience, and a working sense of what SOC 2 / ISO 27001 mean for AI systems.

• Power-user habits with AI coding tools (Claude Code, Codex, Copilot) — you'll be building the environment that makes everyone else one too.

This may not be the role for you if:

• You prefer a stable, predictable routine — this space reinvents itself quarterly.

• 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 model: in-office collaboration days, plus occasional in-person time for workflow-discovery sessions. Remote candidates within Canada 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 ( View email address on jobs.jobcopilot.com ), and we’ll work with you to make sure you have what you need to succeed.