Staff Software Engineer, GenAI Platform
Ripple provides crypto and blockchain solutions for enterprises, enabling global financial entities to move, manage, and tokenize value. They focus on improving existing financial systems through partnerships and regulatory compliance, with products used in over 50 countries.
About Ripple
Ripple is an enterprise blockchain and crypto solutions company that aims to enable the world to move value as seamlessly as information moves today. Their mission is to build breakthrough crypto solutions for a world without economic borders. Using blockchain technology, Ripple facilitates global financial institutions, businesses, governments, and developers to move, manage, and tokenize value, thereby unlocking greater economic opportunity. The company works within existing financial systems to improve them, partnering with customers to streamline infrastructure and collaborating with regulators to ensure solutions are secure and compliant. Ripple's products are in commercial use by hundreds of customers across more than 50 countries, helping them expand into new markets, access liquidity solutions, and generate crypto-enabled revenue streams. They also support developers by providing tools for building on the XRP Ledger, a fast and sustainable public blockchain. Ripple’s payments, custody and stablecoin solutions empower financial institutions to integrate blockchain and digital assets into their business in a simple, secure, compliant way—all in one place. From instant payments to asset tokenization, blockchain and crypto are happening right now, across the world. It’s happening to suppliers, to retailers, to exchanges, to currencies, to sectors, to industries, to markets, and to global businesses. And it’s happening with Ripple.
Skills
About the Role
You will collaborate with world-class colleagues to implement innovative solutions that redefine the global financial system. You'll develop and deliver production-quality agentic AI systems end-to-end using Python, Go, and/or Java, covering EKS deployment, agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelines across a polyrepo engineering environment. You'll define and advance the enterprise agentic AI and developer platform architecture through practical implementations and production deployments. You'll build multi-agent orchestration patterns using frameworks such as LangGraph, MCP, and Claude Code agent harnesses, run fast POCs on emerging agent architectures, and harden successful patterns into reusable platform services, APIs, SDKs, and developer templates. You'll architect data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and feedback loops, and embed security, guardrails, sandbox isolation, and policy enforcement into agent runtimes, particularly for workflows touching XRPL, RLUSD, and payment systems. You'll evaluate and extend open-source and third-party agent platforms, and collaborate with engineering, infrastructure, product, and business partners to align architecture with enterprise priorities.
Requirements
- Bachelor's degree in Computer Science or related field or equivalent experience; Master's or PhD preferred
- 10+ years of experience building and shipping large-scale distributed systems with hands-on coding in Python, Go, Java, or similar systems languages
- Proven ability to move quickly from idea to functional prototype to robust, scalable platform solution
- Track record in constructing agentic AI systems including RAG pipelines, long-lived memory models, multi-agent orchestration, tool frameworks, and evaluation infrastructure
- Expert-level depth in Kubernetes (EKS preferred), service mesh (Istio), containerized workloads, networking, APIs, and secure enterprise integration patterns
- Experience crafting benchmarking, regression testing, telemetry, and observability systems (OpenTelemetry, Prometheus, Grafana)
- Strong understanding of performance tuning in hybrid environments including managed inference endpoints and GPU-based workloads
- Excellent collaboration skills with the ability to influence cross-functional partners
- Experience delivering reusable developer-acceleration components such as SDKs, APIs, templates, reference implementations, and CI/CD automation
- Experience building cross-repo context engines or AI-native developer platforms at scale
- Experience integrating enterprise agentic search and orchestration platforms
- Experience embedding fine-grained policy enforcement, access controls, sandbox isolation, and audit trails into AI runtimes
- Familiarity with formal methods or property-based testing applied to agentic systems and distributed protocols
- Background in blockchain, payments infrastructure, or the XRPL/RLUSD ecosystem
- Evidence of meaningful open-source contributions
Responsibilities
- Develop and deliver production-quality agentic AI systems end-to-end using Python, Go, and/or Java
- Cover EKS deployment, agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelines across Ripple's polyrepo engineering environment
- Define and advance Ripple's Enterprise Agentic AI and developer platform architecture through practical implementations and production deployments
- Build and implement multi-agent orchestration patterns using frameworks such as LangGraph, MCP, or Claude Code agent harnesses with regression coverage and observability
- Run fast, high-quality POCs on emerging agent architectures
- Harden successful patterns into reusable platform services, APIs, SDKs, and developer templates
- Architect and implement data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and structured feedback loops
- Embed security, guardrails, sandbox isolation, auditability, and policy enforcement into agent runtimes in partnership with security, compliance, and governance teams
- Evaluate, integrate, and extend open-source and third-party agent platforms and drive build-vs-use decisions
- Collaborate with engineering, infrastructure, product, and business partners to align architectural direction with enterprise priorities
Benefits
- Professional development budget
- Bi-weekly all-company meeting with Leadership Team
- Team offsites, team bonding activities, and happy hours
- Bonuses and equity
- Benefits covering physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
- R&R days
- Wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy
- Parental leave policies and family planning benefits
- Catered lunches and fully-stocked kitchens with premium snacks/beverages