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 Canadas 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 Canadas intelligent financial operating system combining modern financial services and software to help businesses spend save and grow. Trusted by more than 7500 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 were 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)!

Were 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.

Youll own three things: the harness (the secure governed layer connecting AI models to Floats 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 youll be in the room when a team describes a problem and shipping the fix often the same week.

What Youll Do

• Build the harness: authenticated scoped auditable connectors and MCP servers linking LLMs to Slack Google Workspace Salesforce NetSuite Zendesk and Floats 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 teams automation into everyones 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

Youre a builder first youve 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.

• 12 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) youll 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 youll write them often after discovering the problem yourself.

• You want to build AI systems without talking to the humans who use them.

• Youd 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 elses 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 Canadas 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 youll thrive if youre bold curious and eager to make a real impact. Were building something specialand having a lot of fun along the way. If youre excited to build grow and win together wed love to meet you.

Were committed to building a workplace thats 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 () and well work with you to make sure you have what you need to succeed.

Required Experience:

Senior IC

Employment Type : Full-Time
Department / Functional Area: Engineering
Experience: years
Vacancy: 1