Senior Staff GenAI Fullstack Engineer

Visa; Bellevue (WA); On-site; USD 163,000 - 260,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

FSA/HSA

Life Insurance

Paid Time Off

Wellness Program

Job summary

Visa in Bellevue, WA is seeking a seasoned Senior Staff Fullstack Engineer to help architect, build, and scale enterprise-grade Generative AI applications. You will own full-stack development, shape architecture, and drive production-ready solutions with secure data flows and observability.

You’ll work on AI-native platforms using LLMs, agentic workflows, and tool orchestration, partnering with product, security, and governance teams to deliver scalable, reliable GenAI capabilities across the

Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 11+ years of relevant work experience.
• At least 8 years of experience designing, building, and operating complex distributed software systems in production environments.
• Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications.
• Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling.
• Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages.
• Strong communication skills with the ability to translate complex technical concepts to business stakeholders
• Experience driving technical strategy and influencing architectural direction across organizations.
• Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity.

Responsibilities

• Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture.
• Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards.
• Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness.
• Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services.
• Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency.
• Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns.
• Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration.
• Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns.
• Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience.
• Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation.
• Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation.
• Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration.
• Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems.

Skills

Python

FastAPI

ReactJS

API design

System design

Distributed systems

Cloud platforms

OpenAI / LLMs

Education

Bachelor's degree

Tools

AWS

Azure

Docker

Kubernetes

PostgreSQL

Redis

Pinecone

Git

CI/CD

LangGraph

Job description

Visa in Bellevue, WA is seeking a seasoned Senior Staff Fullstack Engineer to help architect, build, and scale enterprise-grade Generative AI applications. You will own full-stack development, shape architecture, and drive production-ready solutions with secure data flows and observability.

You’ll work on AI-native platforms using LLMs, agentic workflows, and tool orchestration, partnering with product, security, and governance teams to deliver scalable, reliable GenAI capabilities across the