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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.
Job Responsibility:
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
Requirements:
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