M
Mastercard
Senior Software Engineer (Agentic AI)
Skills
NextReactPythonJavaRVercelAIWorkday
1 month ago
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Important information
Contract type:
Permanent
Location:
Ireland
Work mode:
Onsite
Published on:
15 September 2026
What they need
- 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
- 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- Strong backend engineering skills in Java and/or Python
- Experience with developer tooling, automation, CLI-based workflows, and CI/CD
- Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns
- Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption
- 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)
- Familiarity with containers, cloud-native development, and service integration patterns
- 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
- Enjoys learning, experimenting, and helping raise the bar for others
- Ability to explain technical problems clearly and succinctly to diverse audiences
- Hands-on, curious, and comfortable working in fast-moving environments
- Communicates clearly and works well across functions
- Thrives on creating innovative products and technology solutions in a collaborative, fun environment
- Uses AI as part of daily engineering practice
- Brings both engineering depth and a product mindset
- Cares about developer experience, quality, and reuse
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