Senior AI Engineer
About us
JLL (NYSE: JLL) is Fortune 500 leader in commercial real estate, operating in dozens of countries, with annual revenue of tens of billions of dollars. Within JLL, we are part of JLL Technologies, the strategic business unit dedicated to leveraging cutting-edge technology to enhance the value and liquidity of the world's built environment.
The Tel Aviv technology hub leads enterprise-scale AI, data science, ML and research initiatives that directly impact JLL’s multi-billion-dollar business. Our teams design, build, and operate production-grade AI systems that sit at the core of how decisions are made across the company.
The position
We are looking for a Senior AI Engineer with a data/ml engineering background to join the Enterprise Data Science Group – an outstanding engineer who thrives on:
- Orchestrating data and ml/ai pipelines
- Considering performance and cost with data at scale
- Deploying and versioning models in the cloud
- Ensuring reliability and monitoring across environments
- Supporting and facilitating development pipelines, CI/CD, and best cloud practices
- Working with data scientists on ML and GenAI technologies (agents, RAGs, MCPs) that raise the bar of accuracy and impact.
We embrace a flexible hybrid work from our newly renovated Tel Aviv headquarters and prioritize employee well-being through team breakfast gatherings, an on-site gym, and private health insurance.
Highlights:
- You get to work on a diverse set of production products such as enterprise-wide entity resolution, recommender systems that grow sales, and agentic automation workflows. One of the truly unique aspects of our domain is the tremendous diversity of data and challenges we work on.
- Explore new infra, data, ml, and cloud technologies to incorporate into our constantly evolving tech stack.
- Scope out new projects and create proof of concepts.
- We are a medium-size team (approx. 20 people) where people have great relationships, working collectively and with colleagues abroad to impact a multi-billion dollar business.
- Opportunity to be part of a strong, fun, and collaborative team culture.
We are looking for:
- 5+ years of industry experience in Data/ML/SW engineering roles with a proven track record of deploying production systems.
- Experience working with cloud providers (AWS, Azure, GCP, Databricks), CI/CD, containerization, GitHub Actions, Spark, and building scheduled data pipelines.
- Hands-on experience with GenAI technologies (LLMs, vector DBs and RAG systems, MCPs, agent platforms, etc.) from the perspective of orchestration, architecture, caching, monitoring, and cost optimization.
- Familiar with data, ML, or LLM monitoring and observability tools.
- Good communication skills in English with ability to present technical concepts.
- BSc degree in computer science, mathematics, or other STEM fields.
