Senior Software Engineer (MCP & RAG)
Salary not listed • Dublin, Ireland • Full-time
Posted 12d ago
Job Location
Dublin, Ireland
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Mastercard is seeking a Lead Engineer to design and deliver scalable, enterprise-grade AI solutions that enhance our digital capabilities and customer experiences. This role will focus on building intelligent, production-ready systems leveraging large language models (LLMs), knowledge bases with vector search, and modern cloud/data platforms, while ensuring alignment with Mastercard’s standards for security, performance, and reliability. The Program Modernization team drives transformation and champions modernization across technology, risk, and service operations, establishing the foundation for scalable programs, resilient systems, and control governance.
Responsibilities
- Design, develop, and deliver AI-powered solutions leveraging modern architectures, including LLM-based systems and retrieval-augmented generation (RAG).
- Build and maintain enterprise knowledge bases with vector search capabilities for semantic search and intelligent information retrieval.
- Develop LLM-driven applications using frameworks such as 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.
Requirements
- Proven experience (5 to 10 years) in software engineering, with a strong focus on AI/ML and distributed systems.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
- Strong proficiency in Python, with experience building scalable backend systems.
- Experience with Angular or similar frontend frameworks for building user-facing AI applications.
- Hands-on experience with LLM frameworks (e.g., LangChain) and building RAG-based systems.
- Expertise in designing knowledge bases with vector search and working with embedding models.
- Strong experience with cloud platforms, particularly AWS, and familiarity with Cloudera and Databricks ecosystems.
- Solid understanding of system design, APIs, and microservices architecture.
- Experience with Model Context Protocol (MCP) or similar AI orchestration frameworks.
- Experience with vector databases such as PGVector, GraphDB.
- Familiarity with MLOps practices, including CI/CD pipelines, monitoring, and lifecycle management.
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience working in highly regulated, large-scale enterprise environments.
- Strong problem-solving and analytical thinking.
- Ability to operate effectively in a collaborative, fast-paced environment.
- Excellent communication and stakeholder engagement skills.
- Demonstrated ownership and accountability for end-to-end delivery.
- Commitment to continuous learning and staying current with emerging AI technologies.