Staff Data Engineer
Core
Forward Deployed Data Engineer designing, architecting, and deploying AI agents and agentic systems to solve high-priority business problems for JLL's real estate and investment management clients.
Role type
Staff Data Engineer (AI Agents & Agentic Systems)
Builds
Production-grade AI agent pipelines, MCP servers, data orchestration layers, and scalable data workflows for enterprise decision-making.
Domain
Real Estate & Investment Management / Agentic AI & Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Solution design & architecture, AI agent development, MCP (Model Context Protocol), Agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel), Data engineering (pipelines, ETL/ELT, modeling), Python, Cloud platforms (AWS/Azure/GCP)
Preferred skills
RAG architectures, Vector databases, Prompt engineering, LLM evaluation, Agent observability, Data orchestration (Airflow, Prefect, dbt), Containerization (Docker, Kubernetes)
Technologies
LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, MCP, Pinecone, Weaviate, pgvector, LangSmith, Arize, AWS AgentCore, Airflow, Prefect, dbt, Docker, Kubernetes, GitHub Actions
Responsibilities
Lead solution design for complex data and AI problems; Design and deliver working prototypes within compressed timeframes; Build and deploy AI agents and multi-agent systems; Integrate LLMs, RAG systems, and ML models into production workflows; Mentor junior engineers on agentic development and rapid delivery.
Seniority
Staff, hands-on IC with strategic influence