Senior Machine Learning Engineer
Core
Design, build, ship, and operate agentic LLM harnesses to power high-visibility AI features and enable contextually aware experiences for users and agents.
Role type
Senior Machine Learning Engineer (LLM Systems & Agentic Workflows)
Builds
Agentic LLM harnesses, production LLM systems, evaluation frameworks, and model serving infrastructure
Domain
Enterprise SaaS, AI/ML, Large Language Models
Deliverable
production ML models
Required skills
LLM system design and operation, agentic workflow engineering, fine-tuning, model serving, dataset construction, evaluation framework design, distributed data processing, cloud environment management, Kotlin, Python
Preferred skills
Small language model fine-tuning, NVIDIA Triton Inference Server, personalization algorithms, enterprise SaaS architecture
Technologies
Kotlin, Python, NVIDIA Triton Inference Server, SQL, cloud data environments
Responsibilities
Design and operate agentic LLM harnesses for new and existing AI features; improve quality and reduce cost across production LLM systems; build robust evaluation capabilities; set long-term technical direction for LLM harness engineering; lead small virtual squads and coach junior engineers
Seniority
Senior, hands-on IC with leadership responsibilities
