4 months ago
Responsibilities
- Develop, deploy, and operate AI platforms for large language models.
- Collaborate with teams to deploy optimized NLP models in production.
- Interface with customers to create customized deployments.
- Manage compute, storage, and network resources effectively.
- Troubleshoot and support complex Linux-based computing environments.
Requirements
- 5+ years of engineering experience in production infrastructure.
- Experience designing highly available distributed systems with Kubernetes.
- Familiarity with cloud services like GCP, Azure, AWS, and hybrid environments.
- Strong understanding of distributed systems and high-performance server languages.
- Excellent collaboration and troubleshooting skills.
Benefits
- Open and inclusive culture and work environment.
- Weekly lunch stipend and in-office lunches & snacks.
- Full health and dental benefits with a mental health budget.
- 100% Parental Leave top-up for up to 6 months.
- Personal enrichment benefits for arts, culture, fitness, and workspace improvement.
- Remote-flexible work options and co-working stipend.
- 6 weeks of vacation (30 working days).
