Senior ML & LLM Platform Engineer
Core
Design, build, and operate production-grade MLOps and LLMOps systems for serving open-weight LLMs and agentic AI at scale.
Role type
Senior IC MLOps/LLMOps Platform Engineer
Builds
Production-grade AI systems, multi-agent services, and visual interfaces for JLL's commercial real estate businesses.
Domain
Commercial Real Estate / Generative AI / MLOps
Deliverable
production ML models
Required skills
MLOps/LLMOps, GenAI technologies (LLMs, RAG, agents, open-weight models), LLM architecture (MoE, attention, quantization, KV caching), distributed training/inference parallelism, data engineering, cloud infrastructure, CI/CD, experiment tracking, model/prompt registries, observability for non-deterministic systems
Preferred skills
Data science or applied research background, building agentic systems, entrepreneurial mindset
Technologies
AWS/Azure/GCP, Databricks, Snowflake, Spark, MLflow, FSDP, MCP
Responsibilities
Serve open-weight LLMs at scale with GPU capacity management and autoscaling; set MLOps/LLMOps standards including experiment tracking and release practices; implement evaluation and observability for non-deterministic systems; design pre-production environments for large-scale experimentation; improve CI/CD and cloud foundations for ML/LLM pipelines; design and deploy agentic AI services and multi-agent systems
Seniority
Senior, hands-on IC
