SENIOR MACHINE LEARNING ENGINEER
Core
Building next-generation AI systems, specifically large language models and agentic systems, into production-grade software that solves real-world problems at scale.
Role type
Senior IC machine learning engineer (LLMs & agentic systems)
Builds
AI-powered products, intelligent automation workflows, and scalable ML infrastructure
Domain
Artificial Intelligence / Large Language Models / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Machine learning engineering, Large language models (LLMs), PyTorch, TensorFlow, LangChain, AWS cloud infrastructure, MLOps (CI/CD, model monitoring), Docker, Kubernetes
Preferred skills
Experience building production-ready ML systems at scale, applied problem solving in fast-changing environments
Technologies
AWS, PyTorch, TensorFlow, LangChain, Docker, Kubernetes, GPT, Claude, Llama
Responsibilities
Designing and deploying machine learning systems using modern LLMs, developing scalable ML infrastructure, owning features end-to-end from experimentation to production, creating intelligent automation for complex workflows
Seniority
Senior, hands-on IC
