Backend AI Platform Engineer II

Mastercard; Arlington (VA); On-site; USD 106,000 - 169,000; Full time

Job summary

Mastercard is seeking a Software Engineer II for Backend/Platform Agentic AI to build and operate AI-powered features within a multi-tenant environment. You will implement agentic workflows, LLM integrations, and tool calling, while owning end-to-end delivery and production support.

You will work with senior engineers to integrate PI capabilities into shared AI infrastructure, emphasizing code quality, observability, and security in a regulated environment.

Qualifications

• Experience building and shipping AI-powered features in production environments.
• Strong Java engineering background with Spring Boot microservices.
• Hands-on experience in applied AI/ML (LLM integration, RAG pipelines, agentic workflows, model serving, or inference services).
• Familiar with production operations, including service ownership, incident response, and observability.
• Solid testing discipline with unit and integration testing.
• Strong communication skills and ability to collaborate across distributed teams.
• Proactive ownership mindset—asks thoughtful questions, learns quickly, and improves from production insights.

Responsibilities

• Build and operate services delivering AI-powered features to customers in a multi-tenant distributed environment.
• Implement agentic workflows and LLM integrations from design specifications, including tool calling, retrieval patterns, prompt management, and streaming responses.
• Own delivery end-to-end: design, development, testing, deployment, documentation, and production support.
• Contribute to CI/CD pipelines, automated testing, and release processes to ensure consistent, reliable delivery.
• Monitor, debug, and improve AI systems—resolving production issues, optimizing latency, and maintaining service health.
• Collaborate with senior engineers and platform teams to integrate PI-specific capabilities into shared AI infrastructure.
• Follow and contribute to engineering best practices for code quality, testing, observability, security, and reliability.
• Ensure adherence to Mastercard standards for AI governance, Responsible AI, and data security in a regulated environment.

Skills

Java

AI/ML

REST APIs

Microservices

CI/CD

AWS

Azure

Spring Boot

Observability

Cloud Platforms

Tools

Spring Boot

Docker

Kubernetes

Databricks

Snowflake

LangGraph

LangChain

Job description

Mastercard is seeking a Software Engineer II for Backend/Platform Agentic AI to build and operate AI-powered features within a multi-tenant environment. You will implement agentic workflows, LLM integrations, and tool calling, while owning end-to-end delivery and production support.

You will work with senior engineers to integrate PI capabilities into shared AI infrastructure, emphasizing code quality, observability, and security in a regulated environment.