Agentic AI - Senior Software Engineer

at Mastercard · Fintech · Dublin 18, Dublin, Ireland · AI & Data

Senior Software Engineer to join the Agentic AI Engineering team, focusing on applying Generative and Agentic AI to real products, platforms, and developer workflows. The role involves building tooling, services, and reusable patterns to enable experimentation, validation, and scaling of AI-enabled solutions across Mastercard. Requires strong engineering fundamentals, a product-building mindset, and practical understanding of AI systems.

What you'd actually do

  1. Build software, tooling, and platform capabilities that support Mastercard’s Agentic AI strategy
  2. Design and implement AI-enabled applications, workflows, and developer-facing capabilities
  3. Develop reusable services, patterns, and integrations for AI and agentic systems
  4. Evaluate models, frameworks, and tools across quality, cost, latency, reliability, and maintainability
  5. Contribute to new product and prototype development from concept through validation

Skills

Required

  • Strong software engineering experience building scalable, maintainable production systems
  • Strong backend engineering skills in Java and/or Python
  • Experience with developer tooling, automation, CLI-based workflows, and CI/CD
  • Familiarity with containers, cloud-native development, and service integration patterns
  • Experience with React and/or Next.js

Nice to have

  • Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK)
  • Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption

What the JD emphasized

  • Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns
  • Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK)
  • Strong understanding of orchestration, tool-calling, context management, and AI system design trade-offs
  • Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption

Other signals

  • applying Generative and Agentic AI to real products, platforms, and developer workflows
  • build the tooling, services, and reusable patterns that enable teams across Mastercard to experiment, validate, and scale AI-enabled solutions
  • practical understanding of the patterns and trade-offs behind modern AI systems
Read full job description

Job Title:

Agentic AI - Senior Software Engineer

Overview:

Overview Mastercard Foundry R&D is seeking a Senior Software Engineer to join the Agentic AI Engineering team.

This is a hands-on role for an engineer who is deeply engaged in applying Generative and Agentic AI to real products, platforms, and developer workflows. You will help build the tooling, services, and reusable patterns that enable teams across Mastercard to experiment, validate, and scale AI-enabled solutions.

We are looking for someone with strong engineering fundamentals, a product-building mindset, and a practical understanding of the patterns and trade-offs behind modern AI systems. Responsibilites • Build software, tooling, and platform capabilities that support Mastercard’s Agentic AI strategy • Design and implement AI-enabled applications, workflows, and developer-facing capabilities • Develop reusable services, patterns, and integrations for AI and agentic systems • Evaluate models, frameworks, and tools across quality, cost, latency, reliability, and maintainability • Contribute to new product and prototype development from concept through validation • Improve developer experience through automation, AI-assisted workflows, and platform thinking • Partner with product, engineering, and business stakeholders to turn ideas into working solutions • Advocate learnings, prototypes, and best practices across the organization

Experience • Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns • Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK) • Strong understanding of orchestration, tool-calling, context management, and AI system design trade-offs • Strong software engineering experience building scalable, maintainable production systems • Experience with React and/or Next.js • Strong backend engineering skills in Java and/or Python • Experience with developer tooling, automation, CLI-based workflows, and CI/CD • Familiarity with containers, cloud-native development, and service integration patterns • Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption

All About You • Thrives on creating innovative products and technology solutions in a collaborative, fun environment. • Hands-on, curious, and comfortable working in fast-moving environments • Uses AI as part of daily engineering practice • Brings both engineering depth and a product mindset • Cares about developer experience, quality, and reuse • Communicates clearly and works well across functions • Enjoys learning, experimenting, and helping raise the bar for others • Ability to explain technical problems clearly and succinctly to diverse audiences.

To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.