Senior AI-First Treasury Systems Engineer

Requirements

• We’re looking for a builder who moves fast from idea to production — someone who can own agentic systems end-to-end and directly increase the operational capacity of the Treasury team
• Advanced proficiency with coding agents across complex development scenarios
• Experience architecting multi-service systems, including complex persistence, integrations, and scaling
• Understanding of distributed systems tradeoffs and cloud-based infrastructure design
• AI tool fluency: orchestrators, automated workflows, comprehensive evaluation pipelines
• Advanced systems architecture expertise across the full technology stack
• Proficiency in customer discovery techniques and ability to connect technical work to business outcomes
• Competence with design thinking, analytics tools, and funnel analysis
• Experience guiding others on AI-first development approaches
• Expertise in experiment modelling, funnel analysis, and data-informed decision making
• Track record of mentoring others and elevating team capabilities
• (Desirable) Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity)
• (Desirable) LLM observability tools: LangSmith, Arize, Weights & Biases
• (Desirable) AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba)
• (Desirable) Startup, founder, or cross-functional multi-product experience

What the job involves

• The Treasury team manages Remitly’s global funding operations — optimising liquidity positions, managing funding corridors, and ensuring capital is available wherever it’s needed
• Reporting to the Head of Treasury Analytics & Data Science (London), this London-based (hybrid) role sits at the intersection of LLMs, Treasury operations, and data infrastructure
• Cash flow monitoring agents: intraday cash position tracking, reconciliation, variance flagging, and automated daily reports across accounts and currencies
• Funding execution agents: instruction routing, approval workflows, payment scheduling, cut-off monitoring, and settlement tracking — encoded with business rules and risk parameters
• Narrative agents: auto-generated end-of-day and intraday funding commentary, exception summaries, and context-aware alerts delivered to the right stakeholders
• Discovery-to-deployment pipeline: structured sessions with Funding operators to identify manual tasks, then ship agents that eliminate them — reporting packs, utilisation dashboards, liquidity summaries
• Embed within the Funding team at the outset — running existing workflows end-to-end alongside operators to develop a first-hand understanding of day-to-day processes, limitations, and pain points before a single agent is scoped or built
• Build reusable, modular agent components and tool libraries that scale as Remitly expands into new markets and corridors
• Contribute to Treasury-wide agent governance standards, evaluation frameworks, and shared infrastructure
• Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve
• Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury Agents

#J-18808-Ljbffr…