6 days ago
Base Salary
$111k - $172k/yr
Responsibilities
- Interpret stakeholder requirements, verify assumptions, participate in system design, estimate work, and contribute to technical documentation.
- Develop, debug, review, test, maintain, and support software components while deploying fixes during on-call rotations.
- Design and tune multi-agent LLM workflows using orchestration frameworks, ReAct loops, supervisor agents, tool calling, memory architectures, and feedback mechanisms.
- Build MCP tool servers, RAG pipelines, confidence-scoring systems, agent audit trails, and integrations with enterprise LLM inference gateways.
- Develop Spring Boot microservices and REST APIs in Java, and integrate them with upstream data sources and downstream consumers.
- Create end-to-end and integration tests for AI components, including prompt regression suites, tool-call mocks, output validators, and determinism gates.
- Author Helm charts and Jenkins CI/CD pipelines for deploying containerized AI services to Kubernetes/OpenShift across multi-region on-premise environments.
- Collaborate with cross-functional teams, incorporate feedback, mentor junior engineers, and improve product availability, reliability, observability, efficiency, and performance.
Requirements
- At least two years of work experience with a bachelor's degree or advanced degree.
- Preferred experience includes three or more years with a bachelor's degree, more than two years with an advanced degree, or five or more years of relevant work experience.
- At least two years of experience developing or implementing web-based or mobile applications and working with relevant technologies or software systems.
- At least one year of experience building and testing enterprise-scale web services and working on client-facing project or technical teams.
- Experience developing Java backend services, preferably with Java 17 or later and especially Java 21, plus REST APIs, Spring Boot, and JPA/ORM-based data access.
- Experience with system design, debugging, code reviews, test planning, support requests, software developer tools, and deploying fixes.
- Hands-on experience building multi-agent AI systems with LangGraph, LangChain, LangGraph4j, or LangChain4j, including graph construction, conditional routing, and state schemas.
- Experience with ReAct prompting, MCP, prompt engineering, structured outputs, RAG pipelines, embedding models, vector database querying, and retrieval tuning.
- Experience with PostgreSQL and pgvector, LLM observability, AI audit logging, AOP in Spring Boot, and CI/CD pipelines using Jenkins or equivalent.
- Experience deploying containerized workloads with Kubernetes or OpenShift, including Helm charts, rolling deployments, and health probes.
- Experience mentoring junior engineers and collaborating with cross-functional teams.
Benefits
- Estimated US salary range is $110,700.00 to $171,800.00 per year; the posting also mentions potential bonus, equity, and sales incentive payments if applicable.
- Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
- The role requires at least three days in the office, with exact days confirmed by the Hiring Manager.
- The position requires 5–10% travel, and work hours vary based on department needs.
- The role is performed in an office setting.
Tech Stack
Categories
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.