Jeeves is the stablecoin-native banking platform for global enterprises. Thousands of companies across 35 countries run their corporate cards, payments, treasury and spend on one platform, with more than $5B in annualized volume, payouts to 190 countries, and one of the fastest-growing stablecoin payment networks in the world. BMW, H&M;, Lululemon, Burger King, Kavak and XP are among them, and more than 80% of customers use multiple Jeeves products.

Jeeves has raised more than $400 million in equity funding from Andreessen Horowitz, Y Combinator, CRV, Coinbase Ventures, GIC, AllianceBernstein, CoinFund and others. As an AI Engineer at Jeeves, you will own whole workflows from end to end, not individual features. You’ll decide how to build it, ship it, measure it, and keep improving it.

You’ll work closely with Product, Backend Engineering, and our customers, but you won’t wait for someone to hand you a spec. This is a senior, hands-on role for people who are AI-native in how they work. You use coding agents and AI tools every day to move faster, and you know where they fall short.

This role is remote based out of Canada . Own AI Workflows End to End Build Reliable AI in Production Build production-grade LLM pipelines: prompt and context design, structured outputs, validation, fallbacks, and confidence scoring Integrate AI services cleanly with Jeeves’s backend: clear API contracts, retries, graceful degradation, and per-customer data isolation Build evaluation sets and automated evals for every workflow you own, and use them to catch regressions when prompts, models, or data change Instrument AI components with logging,



tracing, dashboards, and alerts so you know when quality drops before a customer does Keep an audit trail of AI decisions that meets the standards of a regulated financial product Raise the Bar for AI Engineering at Jeeves Show the wider team how to use coding agents and AI tools well in day-to-day engineering Review peers’ AI system designs and share what you learn openly 7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production ~ Hands‑on experience shipping LLM-powered applications with APIs such as Anthropic, OpenAI, or similar, including structured outputs, error handling, and evaluation ~ Experience designing agentic or multi-step AI workflows (tool use, orchestration, human review steps) ~ Solid proficiency in Python, plus solid backend fundamentals: REST APIs, PostgreSQL or similar relational databases, async patterns, and a major cloud provider (AWS, GCP, or Azure) ~ Experience with observability for AI systems: logging, tracing, dashboards, and quality monitoring ~ Professional fluency in English, written and spoken We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment.

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📌 Remote AI Engineer (Montreal)
🏢 Jeeves
📍 Montreal