Senior AI Engineer

Team: Engineering - US & Canada

Location: United States

Commitment: Full-time

Workplace Type: remote

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.

We chose hard problems on purpose.

We hire for one thing: relentlessness. A strong motor that keeps going when the problem has no playbook. Youll know in your first week if Jeeves is right for you. For the right people, its the steepest learning curve of your career.

Jeeves has raised more than $400 million in equity funding from Andreessen Horowitz, Y Combinator, CRV, Coinbase Ventures, GIC, AllianceBernstein, CoinFund and others.

If you want to rebuild how money moves across borders, come build it with us.

What Youll Do:

Own AI Workflows End to End

• Design agentic and LLM-based systems that combine extraction, retrieval, reasoning, and tool use to complete multi-step work, with clear human-in-the-loop points

• Write the design docs, make the build-vs-buy and model choices, and set the success metrics for each workflow you own

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 Jeevess backend: clear API contracts, retries, graceful degradation, and per-customer data isolation

• Manage cost and latency across models, choosing the right model for each step

Measure, Monitor, and Improve

• 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

• Set patterns, shared tooling, and practices that other engineers can build on

• 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

Minimum Requirements:

• 7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production

• A track record of owning a large system or workflow end to end, from scoping and design through launch and iteration, with limited direction

• 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)

• Strong 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