AI Infrastructure Engineer, Model Serving Platform
About the role
Design and build platforms for scalable, reliable, and efficient serving of Large Language Models (LLMs). Our platform supports both internal and external use cases across various environments.
Responsibilities
- Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale.
- Create an internal platform to empower LLM capability discovery.
- Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
- Conduct architecture and design reviews to uphold best practices in system design and scalability.
- Develop monitoring and observability solutions to ensure system health and performance.
- Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.
Requirements
- 4+ years of experience building large-scale, high-performance backend systems.
- Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
- Experience with LLM serving and routing fundamentals (e.g., rate limiting, token streaming, load balancing, budgets, etc.).
- Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
- Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
- Proven ability to solve complex problems and work independently in fast-moving environments.
Qualifications
- Master’s degree in Computer Science, Electrical Engineering, or related field.
- Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.
Skills
- Strong understanding of machine learning principles and algorithms.
- Experience with distributed systems and microservices architecture.
- Knowledge of natural language processing and computational linguistics.
Benefits
Comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous paid time off.
Pay
$180,000—$225,000 USD
Schedule
Full-time
Location
San Francisco, New York, Seattle
Company
Scale is a company dedicated to developing reliable AI systems for the world's most important decisions. We provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
Equal Opportunity Employer
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.