AI Engineer II

About the role

AI Engineer II at Mastercard. Architect and build the tool-calling layer that powers our agents: wrap internal services, data platforms, and external APIs as well-defined tools with clear schemas.

What you'll do

• Architect and build the tool-calling layer that powers our agents: wrap internal services, data platforms, and external APIs as well-defined tools with clear schemas
• Engineer reliable tool execution at scale, including parallel and chained tool calls, timeouts, retries, idempotency, error recovery
• Develop high-performance Python backend services for LLM orchestration, covering async job handling, streaming responses, caching, rate limiting
• Architect multi-agent and skills-based agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar, enabling autonomous reasoning, tool use
• Build observability for agent behavior, including end-to-end tracing of tool calls, measuring tool-selection accuracy, and debugging multi-step agent runs in production

What you need

• 3–6 years in data science & ai
• Machine learning
• LLMs
• MLOps
• Python
• SQL
• AWS
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• GCP
• Azure
• Prompt engineering
• Databricks
• CI/CD
• REST APIs