Together AI
Data AI · Open-source model infra
- HQ
- San Francisco, US
- Website
- together.ai
Currently tracking 22 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $121k–$300k (avg $227k).
Data AI · Open-source model infra
Together AI currently has 25 active AI-related job listings. The majority of these roles, 80%, are focused on serving infrastructure. Engineering is the dominant function with 21 listings, and the United States is the primary hiring country with 19 roles. Frequent tech tags include model serving, inference infrastructure, and fine-tuning. Over the last 30 days, Together AI posted 4 new AI roles, representing a 33% decrease compared to the previous 30-day period.
Together AI currently has 26 active AI-related roles in our index. The most common open titles are: Solutions Architect (2), AI Infrastructure Engineer, AI Researcher, Core ML (Turbo), AI infrastructure Engineer (SRE) Bangalore , Customer Support Engineer (Inference), India. Most positions are in Engineering and Research.
Together AI's active AI hiring is concentrated in: serving infrastructure (81%), post-training (12%), application (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Together AI is hiring AI talent in: United States (20 roles), Netherlands (3 roles), United Kingdom (1 role).
Job postings at Together AI most frequently mention: Production ML Systems, Inference Infrastructure, GPU Computing, LLM Inference, Text-to-Speech.
In the past 30 days, Together AI has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Intern, Model Shaping (Fall 2026) Research intern role focused on advanced post-training methods (supervised learning, preference optimization, RL), efficient neural network training techniques, and robust evaluation of foundation models. The team tailors open foundation models for downstream applications and develops new methods for efficient training and evaluation. | Post-trainPretrain | 9 |
| Lead/Manager Together Cloud Infrastructure Lead/Manager for Together Cloud Infrastructure in Amsterdam, focusing on building and managing a team to develop and operate a global, high-performance cloud platform for AI workloads, including GPU scheduling, management plane, and customer-facing services. | Serve |
| 7 |
| Backend Engineer Senior Backend/Distributed Systems Engineer to build and maintain the Together AI Sandbox service, focusing on API platform performance, reliability, and scalability. Responsibilities include designing core backend components, performing research for AI workloads, and ensuring code quality through design and code reviews. | Serve | 7 |
| Together Cloud Infrastructure Engineer This role focuses on building and maintaining the AI cloud infrastructure, including services for hardware management, IaaS software layer for GPU data centers, high-performance object storage for pretraining, and advanced observability stacks. The engineer will work on the core Together AI platform, create services and tools, and develop testing frameworks for robustness and fault-tolerance. | ServeData | 7 |
| Staff Engineer, Distributed Storage,HPC & AI Infrastructure Staff Engineer focused on designing and delivering multi-petabyte distributed storage systems optimized for AI training and inference workloads. Responsibilities include architecting high-performance parallel filesystems and object stores, integrating cutting-edge technologies, driving cost optimization, and building Kubernetes-native storage operators and self-service platforms. The role requires deep expertise in distributed storage, Kubernetes, and performance optimization for GPU/HPC clusters, with strong coding skills in Go and Python. | Serve | 7 |