Senior AI Engineer - MCP & RAG, LLM Systems

Mastercard Inc.; Swords; On-site; EUR 120,000 - 160,000; Full time

Job summary

Mastercard Inc. is hiring a Senior Software Engineer focused on MCP & RAG to design AI-powered, production-grade systems. The role emphasizes building scalable LLM-based applications, knowledge bases with vector search, and robust APIs within secure cloud architectures.

You will work with cross-functional teams to translate business needs into AI-enabled solutions, mentor engineers, and advance engineering best practices in a regulated enterprise environment.

Qualifications

• 5–10 years in software engineering with a focus on AI/ML
• Strong Python backend experience
• Experience with Angular or similar frontend frameworks
• Hands-on with LangChain and building RAG-based systems
• Knowledge of vector search and embedding models
• Experience with AWS and data platforms
• Solid understanding of APIs and microservices architecture

Responsibilities

• Design, develop, and deliver AI-powered solutions using modern architectures (LLM-based, RAG)
• Build and maintain enterprise knowledge bases with vector search
• Develop LLM-driven applications using LangChain and related patterns
• Implement Model Context Protocols or equivalent frameworks
• Architect secure solutions across cloud and data ecosystems (AWS, Cloudera, Databricks)
• Collaborate with product/engineering/data teams to translate needs into AI solutions
• Develop and maintain robust APIs and microservices for AI apps
• Ensure data governance, security, and regulatory compliance in solutions
• Monitor model performance and optimize reliability in production

Skills

AI/ML

Distributed systems

Python

Communication

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related

Tools

LangChain

LLM frameworks

Angular

AWS

APIs / Microservices

Job description

Mastercard Inc. is hiring a Senior Software Engineer focused on MCP & RAG to design AI-powered, production-grade systems. The role emphasizes building scalable LLM-based applications, knowledge bases with vector search, and robust APIs within secure cloud architectures.

You will work with cross-functional teams to translate business needs into AI-enabled solutions, mentor engineers, and advance engineering best practices in a regulated enterprise environment.