Senior AI Engineer: Multi-Agent LLM Orchestrator (Onsite)

Visa Technology and Operations LLC; Austin (TX); On-site; USD 111,000 - 172,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

FSA/HSA

Life Insurance

Paid Time Off

Wellness Program

Job summary

Visa Technology and Operations LLC seeks a Sr. SW AI Engineer to join a production-grade AI-first engineering team. You will design, develop, and maintain agentic systems using multi-agent LLM workflows, ReAct loops, MCP tools, and robust RAG pipelines.

On-site in Austin, TX, you’ll collaborate across teams to deliver scalable AI services and ensure observability and reliability throughout the stack. The role emphasizes Java-based backend services (Java 21), Spring Boot, REST APIs, and modern AI

Qualifications

• 2+ years of work experience with a Bachelor’s Degree or 3+ years with a Bachelor’s Degree, or more than 2 years with an Advanced Degree.
• Experience in technologies/software systems or a directly related field (minimum two years).
• Experience developing and/or implementing web-based or mobile applications (minimum two years).
• Experience in system design and architecture for product components.
• Experience in debugging and troubleshooting software issues.
• Experience in code review and applying coding standards.
• Experience in test planning and execution for software features.
• Experience in responding to support requests and deploying fixes.
• Experience using software developer tools for code creation and maintenance.
• Experience developing backend services in Java (Java 17+ preferred; Java 21 a strong plus).
• Familiarity with REST API design, Spring Boot, and JPA/ORM-based data access patterns.
• Foundational understanding of LLM APIs: prompt construction, token limits, and response parsing.
• Experience building and testing enterprise-scale web services (minimum one year).
• Experience working on client-facing project or technical teams (minimum one year).
• Experience mentoring junior engineers and collaborating with cross-functional teams.
• Hands-on experience building agentic AI systems using LangGraph, LangChain, LangGraph4j, or LangChain4j, including multi-agent graph construction, node/edge definitions, conditional routing, and state schema design.
• Experience implementing the React prompting pattern (Thought Action- Observation) in production or near-production LLM application.
• Working knowledge of MCP: server registration, tool schema definition, and client-side integration.
• Experience building RAG pipelines: document chunking strategies, embedding models, vector database querying, and retrieval relevance tuning.
• Experience with prompt engineering, structured output enforcement (JSON schema), and system prompt management.
• Experience building and monitoring LLM observability.

Responsibilities

• Collaborate with stakeholders to interpret requirements and incorporate feedback into designs or fixes.
• Verify assumptions while translating business requirements and escalate issues to stakeholders.
• Participate in system design and architecture, refining code plans and design docs.
• Support project estimation and escalate risks that may cause delays.
• Develop, implement, and maintain code for products and services using best practices.
• Use debugging tools to validate assumptions and flag issues proactively.
• Participate in code reviews and manage routine pull requests.
• Create test plans and configure testing procedures across features.
• Respond to support requests during on-call rotations and deploy fixes.
• Leverage tools to create, debug, and maintain code for components.
• Invest time in training resources to improve availability, reliability, observability, and performance.
• Design, implement, and tune multi-agent LLM workflows using LangGraph, LangGraph4j, LangChain4j, LangChain, including graph compilation and conditional routing.
• Build and maintain ReAct agent loops for iterative Reason Act-Observe cycles.

Skills

LangGraph

LangChain4j

LangGraph4j

LangChain

Java 17+

Java 21

REST APIs

Spring Boot

Jenkins CI/CD

Kubernetes/OpenShift

PostgreSQL

pgvector

RAG pipelines

LLM observability

AOP

Education

Bachelor’s Degree

Advanced Degree

Tools

LangGraph

LangChain4j

LangGraph4j

LangChain

PostgreSQL

pgvector

Spring Boot

Jenkins

Kubernetes

Job description

Visa Technology and Operations LLC seeks a Sr. SW AI Engineer to join a production-grade AI-first engineering team. You will design, develop, and maintain agentic systems using multi-agent LLM workflows, ReAct loops, MCP tools, and robust RAG pipelines.

On-site in Austin, TX, you’ll collaborate across teams to deliver scalable AI services and ensure observability and reliability throughout the stack. The role emphasizes Java-based backend services (Java 21), Spring Boot, REST APIs, and modern AI