Llm Infrastructure Engineer Float

Engineer the harness behind Float agents with LLM pipelines, observability, and safe money movement capabilities from Toronto’s hybrid workplace.This Senior Engineer, Applied AI position focuses on the infrastructure every Float agent uses. You will build context management, tool use, evaluations, monitoring, and distribution channels. Your work will support agents handling financial information and customer-facing product experiences.Key Responsibilities:
Develop the unified harness for every Float agentProvide accurate, token-efficient business context to agentsBuild evaluation frameworks for agent decisionsMonitor production behavior and convert incidents into improvementsEnable product teams to launch agentic capabilities independentlyRequirements:
Typically five or more years of software engineering experienceBackend depth in LLM pipelines or agent infrastructureExperience operating, improving, and scaling production agentsHands-on knowledge of frontier models and inferenceComfort observing agents instead of specifying every stepUse backend engineering, evaluation frameworks, and context management to establish dependable infrastructure for Float’s financial agents.
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