AI Engineer II
Core
Design, build, and ship production-grade agentic AI systems that make tool calls into enterprise services and APIs to handle complex multi-step workflows.
Role type
Senior IC Generative AI & ML Engineer (Agentic Systems)
Builds
Production agentic AI systems, tool-calling layers, multi-agent orchestration, and LLMOps pipelines for Mastercard's Business & Market Insights group.
Domain
Financial services / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python (async, microservices), API design & integration, LLM orchestration, agent frameworks (LangGraph, CrewAI, AutoGen), vector databases (Pinecone, pgvector, OpenSearch), knowledge graphs (Neo4j, AWS Neptune), Databricks, MLflow, fine-tuning (PEFT, LoRA), prompt engineering, observability.
Preferred skills
Model Context Protocol (MCP), agent performance evaluation, multimodal models, MLOps tooling (Weights & Biases, SageMaker, Bedrock).
Technologies
Python, FastAPI, LangGraph, CrewAI, AutoGen, Pinecone, pgvector, OpenSearch, Neo4j, AWS Neptune, Databricks, MLflow, AWS, Azure, GCP.
Responsibilities
Architect and build the tool-calling layer for agents; Engineer reliable tool execution at scale; Develop high-performance Python backend services for LLM orchestration; Engineer state, memory, and context management subsystems; Architect multi-agent and skills-based agent systems; Build observability for agent behavior; Build retrieval systems (RAG and Graph-RAG); Establish LLMOps and MLOps pipelines; Design multimodal generative AI pipelines; Guide fine-tuning, prompt engineering, and alignment strategies; Implement Responsible AI practices; Evaluate and productionize advances in agentic AI; Lead, mentor, and grow a team of engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities.
