AI Frontier · Enterprise LLMs
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.
Currently tracking 69 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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, Senior/Staff MLE Cohere is seeking a Senior/Staff Member of Technical Staff, Applied ML to work directly with enterprise customers on problems that push LLMs to their limits. This role involves designing custom LLM solutions, delivering production-ready models, and training/customizing frontier models using Cohere's full stack. The position also influences Cohere's foundation models and requires operating with early-startup level ownership. Responsibilities include technical leadership, solution design, modeling, customization, customer-facing impact, and team mentorship. | Post-trainAgent | 9 |
| Member of Technical Staff, MLE This role focuses on applying and customizing Cohere's frontier LLMs for enterprise customers, involving post-training, retrieval, and agent integrations. The individual will design and deliver production-ready models, influence the development of foundation models, and operate with significant ownership, combining application, research, and customer-facing engineering. |
| Post-trainAgent |
| 9 |
| Senior Member of Technical Staff, Multimodal AI Cohere is seeking a Senior Member of Technical Staff to focus on Multimodal AI. This role involves designing and developing cutting-edge multimodal AI systems integrating text, speech, and vision. The candidate will conduct research and experiments on advanced compute infrastructure, exploring novel ideas in multimodal representation learning and transfer learning. The role requires strong software engineering skills, proficiency in Python and deep learning frameworks (JAX, PyTorch, TensorFlow), and knowledge of distributed training strategies for large-scale multimodal models. Experience with autoregressive models for tasks like image/video captioning and speech-to-text is beneficial. The ideal candidate enjoys tuning and optimizing large multimodal models and building evaluations to measure their performance. | Post-trainAgent | 9 |