Senior AI Engineer — MCP & RAG

Mastercard Inc.; Howth; On-site; EUR 90,000 - 140,000; Full time

Job summary

Mastercard Inc. is seeking a Senior Software Engineer (MCP & RAG) to design and deliver production-grade AI solutions. You will build LLM-based applications, vector-search knowledge bases, and scalable APIs across AWS and data platforms.

You’ll partner with product, engineering, and data teams to meet business needs while upholding Mastercard’s security and reliability standards. This role emphasizes mentorship and engineering best practices within a regulated enterprise.

Qualifications

• 5–10 years of software engineering experience with focus on AI/ML and distributed systems.
• Strong programming in Python; experience building scalable backend systems.
• Hands-on with LangChain and building RAG-based applications.
• Experience with cloud platforms (AWS) and data platforms (Databricks, Cloudera).

Responsibilities

• Design, develop, and deliver AI-powered solutions using LLMs and RAG.
• Build and maintain enterprise knowledge bases with vector search.
• Develop LLM-driven apps using LangChain and prompt engineering.
• Collaborate with product, engineering, and data teams to translate needs into AI solutions.
• Maintain robust APIs and microservices for AI apps and front-end integrations.
• Ensure data governance, security, and compliance in solutions.

Skills

AI/ML focus

Distributed systems

Problem-solving

Communication

Stakeholder engagement

Education

Bachelor’s or Master’s in CS/related

Tools

Python

LangChain

Angular

AWS

Databricks

Cloudera

Kubernetes

Docker

Job description

Mastercard Inc. is seeking a Senior Software Engineer (MCP & RAG) to design and deliver production-grade AI solutions. You will build LLM-based applications, vector-search knowledge bases, and scalable APIs across AWS and data platforms.

You’ll partner with product, engineering, and data teams to meet business needs while upholding Mastercard’s security and reliability standards. This role emphasizes mentorship and engineering best practices within a regulated enterprise.