Hiring: Staff SW Engineer Company: Visa Location: Bellevue, WA Job Posted Time: 2026-09-03 10:17:14 Target Skills & Keywords : API Design, AWS, ArgoCD, Azure, CI/CD, Docker, DynamoDB, Event-Driven, FastAPI, Flask, GCP, GitHub Actions, Grafana, GraphQL, Java, Jenkins, Kafka, Kubernetes, LLM, LangChain, LlamaIndex, Microservices, MongoDB, MySQL, Pinecone, PostgreSQL, Prometheus, Python, RAG, REST, RESTful, RabbitMQ, React, Redis, SQL, Spring Boot, Systems Design, TypeScript, Weaviate, gRPC About the job Experience: •6+ years of backend software development experience with Java and Spring Boot. •2+ years of backend experience with Python (FastAPI, Flask, or similar frameworks). Required Skills: •Visa is building a next-generation Agentic AI Platform that brings intelligent, autonomous agents into large-scale distributed applications across our global ecosystem. •We’re seeking a Staff Software Engineer who will design and build scalable backend systems that integrate AI agents into Visa’s enterprise infrastructure. You will work with other engineers and technical leaders to define the architecture, scaling strategy, and engineering standards for Visa’s AI-driven products. •This is a role for a self-driven engineer — a go-getter, builder, and problem solver with deep experience in Java microservices, GenAI integration, and distributed system design, and a true-north, entrepreneurial mindset focused on speed, quality, and innovation. •Integrate Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini into backend systems. Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS). Develop orchestration and agentic workflows using LangChain, LangGraph, or Autogen. •Lead the design and implementation of distributed, fault-tolerant systems that scale horizontally. Implement auto-scaling, monitoring, and observability using Kubernetes, Docker, and Prometheus/Grafana. Drive best practices for latency reduction, cost optimization, and service reliability. •Leadership & Execution •Partner with other senior engineers, ML engineers, and product leads to define and deliver the platform roadmap. Mentor developers, set coding standards, and lead design reviews. Deliver results with urgency — balancing innovation with enterprise rigor. •Explore new frameworks, architectures, and deployment models to push the boundaries of Agentic AI in production. Drive continuous improvement, automation, and open-source adoption across the engineering organization. Qualifications: •5+ years of relevant work experience with a bachelor’s degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. •Production-level experience in building and deploying AI Agentic solutions, including orchestration of LLM-based agents, integration with enterprise microservices, and troubleshooting live production environments. •Hands-on experience implementing LLM, GenAI, and RAG systems using frameworks such as LangChain, LangGraph, or Autogen. •In-depth knowledge of AI orchestration and LLM integration patterns in distributed environments. •At least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Compensation: •Competitive benefits and rewards package •In addition, this position may be eligible for bonus and equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!