Senior AI Platform Engineer
Core
Design, build, and operate production AI platform components including model-serving, agentic infrastructure, context-engineering, observability, and experimentation services.
Role type
Senior AI Platform Engineer
Builds
Model-serving infrastructure, agentic systems, and observability tools for internal customers
Domain
Artificial Intelligence / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Python, API and service design, distributed systems, containers, orchestration, testing, LLM model serving, agentic infrastructure, transformers, LLM inference, PyTorch, Hugging Face
Preferred skills
LLM gateways, inference optimization, durable workflows, agent frameworks, language-model fine-tuning, distributed training, MLflow, Weights & Biases, on-premises AI deployments
Technologies
PyTorch, Hugging Face, MLflow, Weights & Biases
Responsibilities
Own AI platform components from design to production, debug production issues (latency, GPU memory, agent loops), scope and estimate work, mentor and onboard new engineers, run benchmarks and experiments
Seniority
Senior, hands-on IC
