Anyscale is actively hiring for 9 AI-related roles. The majority of these positions, 67%, are focused on serving infrastructure, with the remaining 33% in data. Engineering is the most frequent function, with 8 roles, and hiring is concentrated in the United States and India. Frequent tech tags include inference infra, model serving, and multimodal.
Currently tracking 2 active AI roles, up 67% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $170k–$247k (avg $209k).
Anyscale currently has 8 active AI-related roles in our index. The most common open titles are: Software Engineer, Platform Infrastructure (Foundations) (2), Distributed LLM Inference Engineer, Senior / Staff Product Manager - Ray Data, Senior Site Reliability Engineer, Platform Infrastructure (Foundations), Software Engineer (Ray Data). Most positions are in Engineering and Product.
Anyscale's active AI hiring is concentrated in: serving infrastructure (63%), data (38%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Anyscale is hiring AI talent in: United States (6 roles), India (2 roles).
Job postings at Anyscale most frequently mention: Ray, Performance Optimization, Distributed Systems, System Design, Product Management.
In the past 30 days, Anyscale has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Distributed LLM Inference Engineer Anyscale is seeking a Distributed LLM Inference Engineer to build and optimize systems for large-scale LLM inference, integrating with Ray and open-source projects like vLLM. The role focuses on achieving high throughput and low latency for batch and online inference, contributing to Anyscale's market-leading AI infrastructure. | Serve | 8 |
| Software Engineer (Ray Data) Software Engineer role focused on improving the performance, scaling, and fault tolerance of Ray Data, a Python-native data processing engine for AI/ML workloads, including multi-modal batch inference and production training data loading. | Data | 7 |