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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, GenAI Platform - **Company:** Ripple - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $208,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Cursor (Graphical User Interface Elements), Distributed Systems, Payment Systems, Monitoring of Systems, Python (Programming Language), Open Source Technology, Performance Tuning, Regression Testing, Blockchain, Prometheus, Software Deployment, Enterprise Application Integration, Microsoft Power Automate, Istio, Grafana, Multi-Agent Systems, Containerization, Kubernetes, Information Technology, Low Latency, Ripple (payment Protocol), Formal Methods, Virtual Agents, Software Coding, Golang - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=26bb0f1d66ab04a3 ## About the Role Do you have experience in Software coding?, Do you have a Master's degree?, * 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 significant 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. * Proven track record in constructing agentic AI systems, including RAG pipelines, long-lived memory models, multi-agent orchestration (e.g., AgentCore, Strands, LangGraph, MCP, Claude Code, LangChain), 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) that measure agent quality, latency, cost, reliability, and safety. * 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, build positive relationships, and clearly communicate complex architectural concepts to both technical and business audiences., * Proven 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 (vector databases such as Qdrant, code embeddings, Tree-sitter, retrieval across thousands of repositories). * Experience integrating enterprise agentic search and orchestration platforms (Glean, Cursor, Claude Code at organizational scale, Microsoft Copilot Studio, or similar). * Experience embedding fine-grained policy enforcement, access controls, sandbox isolation, and audit trails directly into AI runtimes - particularly in regulated or financial contexts. * Familiarity with formal methods (TLA+, model checking) 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: core commits, maintainer-ship, widely adopted libraries, or public technical artifacts demonstrating system-level depth. ## Description * 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 that operate across Ripple's polyrepo engineering environment. * Define and advance Ripple's Enterprise Agentic AI and developer platform architecture through practical implementations, reference systems, and production deployments - not abstract diagrams. * Build and implement multi-agent orchestration patterns (planner, executor, reviewer, tool agents) using frameworks such as LangGraph, MCP, Claude Code agent harnesses, or similar orchestration systems, with strong 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 that engineering teams across Ripple can adopt. * Architect and implement data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and structured feedback loops - treating quality, cost, latency, and safety as first-class signals. * Embed security, guardrails, sandbox isolation, auditability, and policy enforcement directly into agent runtimes in partnership with security, compliance, and governance teams - particularly for workflows that touch XRPL, RLUSD, and payment systems. * Evaluate, integrate, and extend open-source and third-party agent platforms; drive disciplined build-vs-use decisions based on performance, scalability, control, and long-term platform ownership. * Collaborate closely with engineering, infrastructure, product, and business partners to align architectural direction with enterprise priorities and accelerate adoption across the organization., * 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! ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) - [Get started with securing your cloud-native Java microservices applications](https://www.wearedevelopers.com/videos/123-get-started-with-securing-your-cloud-native-java-microservices-applications) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)