Agentic AI - Senior Software Engineer

Mastercard
Dublin
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Collaboration","Product mindset","Communication","Problem-solving","Learning orientation"]

Join Mastercard Foundry R&D’s Agentic AI Engineering team to build tooling, services, and reusable patterns that help teams experiment, validate, and scale AI-enabled solutions. You’ll design and implement AI-enabled applications and developer-facing workflows, evaluate AI frameworks for quality/cost/latency, and improve developer experience through automation and platform thinking. You’ll partner across product, engineering, and business to turn prototypes into production systems.

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FursaFursa
Mastercard
Mastercard
1 month ago

Agentic AI - Senior Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live
Reposted: similar role first listed 5 months ago

Job Summary

Join Mastercard Foundry R&D’s Agentic AI Engineering team to build tooling, services, and reusable patterns that help teams experiment, validate, and scale AI-enabled solutions. You’ll design and implement AI-enabled applications and developer-facing workflows, evaluate AI frameworks for quality/cost/latency, and improve developer experience through automation and platform thinking. You’ll partner across product, engineering, and business to turn prototypes into production systems.
Location: Dublin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build software, tooling, and platform capabilities supporting 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.
  • •Improve developer experience via automation, AI-assisted workflows, and platform thinking, partnering with cross-functional stakeholders to deliver working solutions.

Key Requirements

  • •Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns.
  • •Experience with modern AI frameworks/SDKs for agent orchestration, AI application development, or coding-agent workflows (e.g., 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 backend engineering experience building scalable, maintainable production systems, including Java and/or Python.
  • •Experience with React and/or Next.js, plus developer tooling/automation, CLI-based workflows, and CI/CD.
Experience:AILLMsGenerative AIAgentic AI
Skills:CollaborationProduct mindsetCommunicationProblem-solvingLearning orientation
Tech Stack:Generative AILLMsAgent orchestrationLangGraphOpenAI Agents SDKVercel AI SDKCodex SDKReactNext.jsJavaPythonDeveloper toolingAutomationCLICI/CDContainersCloud-native development

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
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