Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Infrastructure Engineer (LLM Serving): Designing and building platforms for scalable, reliable, and efficient serving of LLMs with an accent on backend system design and infrastructure scalability. Focus on building fault-tolerant systems, optimizing model routing, and implementing observability for large-scale AI production environments.
Location: London, UK
Company
Scale AI provides high-quality data and full-stack technologies that power the world's leading AI models for enterprises and governments.
What you will do
- Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale.
- Develop 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 ensure best practices in system design and scalability.
- Develop monitoring and observability solutions to ensure system health and performance.
- Lead end-to-end projects 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 Python, Go, Rust, or C++.
- Experience with LLM serving and routing fundamentals such as rate limiting, token streaming, and load balancing.
- Understanding of LLM concepts including reasoning, tool calling, and prompt templates.
- Experience with containers and orchestration tools like Docker and Kubernetes.
- Familiarity with cloud infrastructure (AWS, GCP) and Infrastructure as Code (Terraform).
Nice to have
- Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.
Culture & Benefits
- Inclusive and equal opportunity workplace committed to diversity.
- Collaborative environment bridging the gap between AI research and engineering.
- Provision of reasonable accommodations for applicants with physical and mental disabilities.
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