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Float

Corporate spending platform with real-time reporting

Senior / Staff Engineer - Applied AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • Experience building and shipping agents or LLM-backed systems to production, and monitoring, improving, and scaling them in production. Typically, 5+ years of software engineering experience for Senior and 8+ years for Staff, with a track record of technical leadership across teams at Staff.
  • Depth in either full-stack product engineering for agentic experiences or backend engineering for LLM pipelines and agent infrastructure.
  • Hands-on, current knowledge of frontier models, inference, and context management, and opinions about what works.
  • Comfort giving agents capabilities and context and then observing them, rather than specifying every step.
  • Experience at more than one company stage, or in a company growing quickly, with major ownership and impact.
  • A habit of building things nobody asked for and finishing them.
  • Curiosity and willingness to start over when the field moves.

Responsibilities

  • Ship agents that save customers real money and time, taking them from prototype to production at scale and owning their outcomes once live.
  • Build the unified harness for context management, capabilities and tool use, evaluation, monitoring, and observability that every agent at Float runs on and scales through.
  • Make agent actions safe to trust with a company’s money through permissions, approvals, audit trails, and clear behavior when the agent is uncertain or wrong.
  • Define and measure quality using offline evaluations, production monitoring of agent decisions, and a feedback loop that turns incidents into improvements.
  • Build the interfaces through which agents are delivered, including chat, generative user interfaces, and multiple channels.
  • Partner with product teams so they can launch their own agent capabilities on the harness without rebuilding it.
  • Track models, inference, and context management, and rework existing systems when a better approach appears.
  • Build the approval and audit layer that lets an agent pay a bill on a customer’s behalf.
  • Establish an evaluation framework that determines before and after launch whether an agent’s answers about a company’s spending are correct.
  • Give agents accurate, token-efficient context about a whole business, including cards, bills, accounts, and accounting integrations.
  • Ship tooling that enables a product team to launch agentic capabilities without assistance.

Desired Qualifications

  • Experience as a founder, founding engineer, or early engineer on a major initiative inside a larger company.
  • Experience building systems that move money or make decisions people are accountable for, such as fintech, payments, or other regulated products.
  • Experience designing evaluation frameworks for LLM systems, including LLM-as-judge and human-in-the-loop labeling.

About the Company

Float

Corporate spending platform with real-time reporting

Float is a fintech platform for business spending that combines smart corporate cards with expense management. It lets finance teams issue unlimited virtual cards for vendors and employees, fund those cards as needed, and set spending limits, all in CAD or USD. The platform provides real-time expense reporting to spot unusual activity and opportunities for savings, helping companies manage and reconcile spending quickly. Revenue comes from subscription fees and from the interest earned on clients’ cash balances. Float differentiates itself by offering 4% interest on cash balances in both CAD and USD, a strong customer-support promise, and tools designed to give businesses tighter control over spending and cash flow compared with traditional banks. The company’s goal is to automate and simplify business spending while giving teams more visibility and control over their finances, across Canadian and cross-border use.

Company size
201-500
Company stage
Series C
Total funding
$257.3M
Headquarters
Toronto, Canada
Founded
2019

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