Agentic AI - Senior Software Engineer

Mastercard 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