Senior AI Engineer: MCP & RAG (LLM + Vector KB)

Mastercard Inc.; Donabate; On-site; EUR 120,000 - 180,000; Full time

Job summary

Mastercard is seeking a Senior Software Engineer to design and deliver scalable AI-powered systems, focusing on MCP and RAG. You will build production-ready, enterprise-grade AI applications leveraging LLMs, vector search, and knowledge bases across AWS, Cloudera, and Databricks.

The role emphasizes collaboration with product and data teams, building robust APIs, data governance, security, and reliability, while mentoring peers and advancing engineering best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related discipline.

Responsibilities

• Design, develop, and deliver AI-powered solutions leveraging LLMs and retrieval-augmented generation (RAG).
• Build and maintain enterprise knowledge bases with vector search capabilities, enabling semantic search and intelligent information retrieval.
• Develop LLM-driven applications using LangChain, including prompt engineering, chaining, and orchestration patterns.
• Implement and integrate solutions leveraging Model Context Protocols (MCP) or equivalent model interaction frameworks.
• Architect scalable and secure solutions across cloud and data ecosystems, including AWS, Cloudera, and Databricks.
• Collaborate cross-functionally with product, engineering, and data teams to translate business needs into AI-enabled solutions.
• Develop and maintain robust APIs and microservices to support AI applications and front-end integrations.
• Ensure solutions adhere to Mastercard's standards for data governance, security, compliance, and operational excellence.
• Monitor and optimize model performance, reliability, and scalability in production environments.
• Contribute to technical design discussions, mentor junior engineers, and promote engineering best practices.

Skills

Python

LLM frameworks

LangChain

Distributed systems

APIs & microservices

AWS

Kubernetes

Docker

Vector search

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related discipline

Tools

LangChain

Docker

Kubernetes

PGVector

Cloudera

Databricks

Job description

Mastercard is seeking a Senior Software Engineer to design and deliver scalable AI-powered systems, focusing on MCP and RAG. You will build production-ready, enterprise-grade AI applications leveraging LLMs, vector search, and knowledge bases across AWS, Cloudera, and Databricks.

The role emphasizes collaboration with product and data teams, building robust APIs, data governance, security, and reliability, while mentoring peers and advancing engineering best practices.