# Staff Software Engineer, AI Platform at Ripple

Ripple is hiring a Staff Software Engineer, AI Platform in Chicago, United States. It pays $208k-$260k a year and Level rates it Builds AI ●●●●; you can [apply on Ripple](https://jobsbylevel.com/go/b36cc5ba-64b9-4cfa-9207-4dd04455f154?utm_medium=ai-agent).

AI Level 4, AI centrality 86 out of 100. Chicago, Illinois, United States.

## Details

- Company: [Ripple](https://jobsbylevel.com/companies/ripple)
- AI level: AI Level 4 (score 86 out of 100)
- Location: Chicago, Illinois, United States
- Salary: $208k-$260k
- Posted: August 15, 2026
- Apply: https://jobsbylevel.com/go/b36cc5ba-64b9-4cfa-9207-4dd04455f154?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-software-engineer-ai-platform-at-ripple-f1030e

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/staff-software-engineer-ai-platform-at-ripple-f1030e

## Description

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Opportunity The mission, should you choose to accept it, is to pioneer and scale GSmart, Ripple Treasury's AI platform, into the future. If you enjoy solving complex business problems in a fast-paced, collaborative, and iterative environment this might be the right role for you! We are seeking an innovative and forward-thinking Staff Software Engineer passionate about building a world-class AI platform through a world-class team. You will set the technical direction for how AI is built, measured, and operated across our enterprise treasury products, and stay hands-on in design, implementation, and production. About the AI Platform Team The AI Platform team builds and operates GSmart, the production AI platform behind the intelligent features in Ripple Treasury. Enterprise treasury teams in 160+ countries rely on it for forecasting, risk, onboarding, and analyst experiences. GSmart is middleware, not a single feature. It gives every product team model routing, guardrails, observability, evaluation, and context injection out of the box, so each new AI capability is cheaper and safer to build than the last. We're now extending the platform into an agentic layer: agents that reason over treasury data and act on behalf of finance teams, with the auditability that regulated financial workflows demand. We hold a high bar on measurement. If we can't evaluate it, we don't ship it. What You'll Do – Be a Force Multiplier Technical Leadership & Architecture: Drive architectural decisions for the AI platform, balancing scalability, maintainability, cost, and rapid delivery Establish the standards and design patterns for how teams build on GSmart: context assembly, prompt and model management, guardrails, and agent orchestration Lead technical design reviews and give constructive feedback that elevates the team's architectural thinking Identify and retire technical debt strategically, with roadmaps that improve both developer velocity and platform reliability Evaluation & AI Quality: Own the evaluation strategy for the platform: datasets, rubrics, automated and human review, and regression gates in CI/CD Make AI quality measurable, so every prompt, model, or context change ships with evidence rather than opinion Diagnose failure modes in production LLM systems and turn them into evals that prevent recurrence Team Enablement & Mentorship: Mentor mid-level and senior engineers, helping them grow into technical leadership roles Break down complex, ambiguous problems into actionable work that distributes effectively across the team Enable product teams to build on the platform and own their deliverables, through clear interfaces, documentation, and reference implementations Champion engineering practices including observability, incident response, and production excellence Strategic Technical Vision: Anticipate scalability, latency, and cost challenges before they become blockers (e.g., 10x growth in inference volume or expansion into new data-residency regions) Evaluate emerging models, frameworks, and agent patterns, and recommend when and how to adopt them Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later" Ownership & Accountability: Own critical platform systems end-to-end, from design through production support Take responsibility for production reliability and proactively prevent

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