Software Engineer II - Backend/Platform Agentic AI
About The Position
The Portfolio Intelligence (PI) program within Mastercard's Business & Market Insights (B&MI) division delivers analytics products that help financial institutions understand and grow their card portfolios. We're building a first-party AI platform that brings agentic, conversational, and generative AI capabilities directly into our products; powering features like natural-language analytics, automated report summaries, and personalized dashboard experiences for thousands of customers worldwide. This is a builder role. You will write code daily, own components end-to-end, and ship production-grade AI-enabled services within a multi-tenant, customer-facing platform. You'll work alongside senior engineers, architects, and product partners to implement agentic workflows, integrate LLM-powered capabilities into our existing Java/Spring Boot stack, and help operate AI systems in production.
Requirements
- Experience building and shipping AI-powered features in production environments
- Strong Java engineering background, including building and maintaining 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 experience in 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 feedback and production insights
- Motivated to grow AI engineering expertise and take on increasing technical scope over time
- Strong proficiency in Java for backend and service development
- Experience integrating AI/ML capabilities in production (LLM APIs, model serving, retrieval pipelines, or similar)
- Strong understanding of REST APIs, microservices architecture, and distributed systems fundamentals
- Experience with CI/CD practices, including branching, build automation, quality gates, and deployment pipelines
- Working knowledge of production operations: logging, metrics, monitoring, and incident response
- Experience with cloud platforms (AWS or Azure)
Nice To Haves
- Python experience for AI/ML scripting, experimentation, or tooling
- Familiarity with agentic AI frameworks (LangGraph, LangChain, or similar)
- Experience with Databricks, Snowflake, or similar cloud data platforms
- Experience with RAG patterns, vector databases, or semantic search
- Exposure to prompt engineering and commercial LLM APIs (OpenAI, Anthropic, Azure OpenAI)
- Experience with Kubernetes, Docker, or container orchestration
- Familiarity with analytics platforms, data pipelines, or BI tools
- Experience in financial services or other regulated environments
Responsibilities
- Build and operate services delivering AI-powered features to customers, ensuring correctness, performance, and reliability 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
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- 16 weeks of new parent leave
- up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
