Software Engineer II, Backend/Platform Agentic AI

Mastercard

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$106,000–$169,000 / yr
Posted
88 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k
This role $138k
$92k most similar roles pay here $239k

This role pays less than 90% of similar roles. Most pay $152,150–$224,493 — the shaded band above. At the midpoint, this role pays about $138k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Software Engineer II, Backend/Platform Agentic AI

As a Software Engineer II - Backend/Platform Agentic AI, you will join the Portfolio Intelligence team to build a first-party AI platform providing agentic, conversational, and generative capabilities for financial institutions. You will write code daily to develop production-grade services within a multi-tenant distributed environment, focusing on features like natural-language analytics and automated report summaries. Your responsibilities include implementing agentic workflows, LLM integrations, tool calling, retrieval patterns, and prompt management while owning the full lifecycle from design to deployment. The role requires proficiency in Java, Spring Boot microservices, REST APIs, and CI/CD pipelines. You will work with tools like AWS or Azure to manage production operations including monitoring and incident response. Key technical domains include RAG pipelines, model serving, and potentially using Python, LangChain, or vector databases within a regulated financial services environment.

What does a Software Engineer earn in Virginia?

Median $211200 from 265 postings across 15 companies.

See salary data

What you'll do

  • Develop and operate production-grade services providing AI-powered features in a multi-tenant distributed environment.
  • Implement agentic workflows including tool calling, retrieval patterns, prompt management, and streaming responses.
  • Integrate LLM capabilities into the existing Java and Spring Boot microservices stack.
  • Own the end-to-end delivery lifecycle including design, development, testing, deployment, and documentation.
  • Manage production operations by monitoring, debugging, and optimizing latency for AI systems.
  • Contribute to CI/CD pipelines and automated testing processes to ensure reliable software delivery.
  • Ensure all AI features comply with corporate standards for governance, security, and responsible AI.

What we're looking for

  • Strong proficiency in Java for backend and service development.
  • Experience integrating AI/ML capabilities in production including LLM APIs, model serving, or retrieval pipelines.
  • Strong understanding of REST APIs, microservices architecture, and distributed systems fundamentals.
  • Experience with CI/CD practices, including branching, build automation, and deployment pipelines.
  • Working knowledge of production operations such as logging, metrics, monitoring, and incident response.
  • Experience with cloud platforms like AWS or Azure.
  • Python experience for AI/ML scripting, experimentation, or tooling (preferred).
  • Familiarity with agentic AI frameworks, RAG patterns, vector databases, or prompt engineering (preferred).

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