Staff Software Engineer, AI Platform

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 incidents • Step into ambiguous situations and drive them to resolution without needing explicit direction • Lead by example in code quality, documentation, and operational excellence • Make tough technical trade-off decisions and clearly communicate the reasoning What You'll Work On • AI middleware — the shared services every AI feature runs through: model routing across providers, guardrails, memory, and context injection • Evaluation and observability — tracing, evals, prompt registry, experimentation, and cost tracking that make AI behavior visible and auditable • Agentic layer — the orchestration, tooling, and safety model for agents that work across treasury data and workflows • Regional deployment — infrastructure-as-code that brings inference and memory into new geographies while meeting data-sovereignty requirements • Product integration — partnering with Forecasting, Risk, Liquidity, and Digital Assets teams to turn customer problems into platform capabilities Essential Knowledge / Experience Years & Scope: • 8+ years of professional software engineering experience • 3+ years working on complex, business-critical systems in production • 2+ years building and operating LLM-based systems in production, beyond proof of concept • Strong communication skills with experience working in cross-functional projects • Track record of delivering projects that span multiple quarters and require coordination across teams Technical Leadership: • Led technical designs that were implemented by teams of 3+ engineers • Made architectural decisions that had lasting impact on system capabilities • Established technical patterns that were adopted across teams AI Platform Engineering: • Has owned a production LLM platform or shared AI service used by multiple product teams • Can define and run evaluations: golden datasets, rubric and model-graded scoring, regression testing, and online monitoring • Understands context engineering and retrieval, and can explain when each is the right tool • Hands-on with model gateways and routing, prompt management, guardrails, and LLM observability (we use Azure OpenAI, LiteLLM, and Langfuse) • Experience designing agentic systems, including tool use, orchestration, memory, and failure handling • Speaks fluently about failure modes, cost, and latency trade-offs, not just wins Cloud & Infrastructure: • Proficiency with at least one major cloud platform (preferably Azure) • Experience with containerized workloads (Docker; Azure Container Apps or Kubernetes) • Understanding of infrastructure as code (Terraform) and CI/CD pipeline design • Knowledge of observability: logging, metrics, tracing, and alerting strategies Core Technologies: • Strong full-stack skills , front-end through back-end and APIs, in a modern stack such as C#/.NET and TypeScript/Node.js • Deep experience building large-scale, multi-tenant enterprise applications • Experience building and maintaining RESTful APIs, and knowing when to use alternative patterns (streaming, gRPC, webhooks) • Working knowledge of data stores used in AI systems, including relational databases and caches such as Redis Nice to Have: • Experience in fintech, treasury, banking, or another regulated domain • Experience with data-residency or multi-region AI deployments • Familiarity with digital assets What You Will Get • A high impact, high visibility role at a growing SaaS company that values personal growth, accountability, and the concept of “good work” • This is a great opportunity for someone who wants to make a big impact, work in a fast-paced and collaborative environment, and win as a team to scale a growing business • A culture of open collaboration and problem solving • An empowered role on the Engineering team, responsible for the platform every AI feature in Ripple Treasury is built on • Great benefits, and culture For positions that will be based in IL, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. IL Annual Base Salary Range $208,000 — $260,000 USD WHO WE ARE: Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team • We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances • Competitive salary, bonuses, and equity • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support • Employee giving match • Mobile phone stipend Take Care of Yourself • R&R days so you can rest and recharge • Generous wellness reimbursement and weekly onsite & virtual programming • Generous vacation policy - work with your manager to take time off when you need it • Industry-leading parental leave policies. Family planning benefits. • Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed t