Cohere
AI Frontier · Enterprise LLMs
Currently tracking 69 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Cohere has 77 active AI-related job listings. The majority of these roles are focused on agents, representing 39% of the total. Engineering is the dominant function, with 60 positions. The company is actively hiring for roles related to model serving, agent orchestration, and fine-tuning. In the last 30 days, Cohere has posted 17 new AI roles, a significant increase compared to the previous 30-day period.
AI Frontier · Enterprise LLMs
Cohere currently has 78 active AI-related roles in our index. The most common open titles are: Forward Deployed Engineer, Agentic Platform (2), Solutions Architect - Public Sector (2), Applied AI Engineer - Agentic Workflows (Singapore), Applied AI Engineer – Agentic Workflows, Applied AI Engineer – Agentic Workflows (Korea). Most positions are in Engineering and Research.
Cohere's active AI hiring is concentrated in: agents (36%), data (19%), serving infrastructure (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cohere is hiring AI talent in: Canada (34 roles), United States (16 roles), United Kingdom (14 roles), France (3 roles).
Job postings at Cohere most frequently reference: model serving, agent orchestration, fine tuning, inference infra, rag.
In the past 30 days, Cohere has posted 9 new AI-related roles. That is a -40% change versus the prior 30 days (15 → 9).
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff, Safety for Agents Cohere is seeking a Member of Technical Staff for their Safety for Agents team. This role focuses on developing better, fairer, and more trustworthy LLMs by working on data generation, post-training algorithms, and evaluation methods for AI safety. The position involves collaboration with ML, data annotation, product, and policy teams, and requires strong statistical, software engineering, and data analysis skills. The ideal candidate will have experience training LLMs and evaluating their generalizability and robustness, with a publication record in top-tier venues. | Post-trainAgent | 9 |
| Member of Technical Staff, Post-Training This role focuses on advancing model post-training techniques to achieve state-of-the-art performance, bridging research and production. Responsibilities include designing and writing high-performance software for training, coordinating with specialist teams, crafting techniques for SFT and RL regimes, and researching/implementing ideas on infrastructure. The role requires strong software engineering skills, proficiency in Python and ML frameworks, and experience with distributed training infrastructures and large-scale model training, particularly in the post-training phase with performance optimization. |
| Post-trainPretrain |
| 9 |