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Build and ship full-stack features for North, develop autonomous agents that access sensitive enterprise data, productionize state-of-the-art models, write minimal, secure low-resource code, and collaborate with researchers to deploy performant RAG/agentic applications while prioritizing security and user experience.

Lead private-cloud and on-premises deployments of an enterprise AI platform. Partner with customer IT teams on infrastructure, security, and data requirements; design compliant deployment strategies; troubleshoot technical issues; and deliver reliable rollouts. The role requires production Kubernetes and Helm expertise, cloud infrastructure knowledge, DevOps and CI/CD experience, customer-facing skills, French fluency, and travel of up to 20–40%.

Design, build, and deploy reliable LLM-powered agents and agentic workflows for enterprise customers. Translate ambiguous business problems into measurable AI solutions, integrate agents with tools, APIs, and sensitive data, and ship features for Cohere’s North platform. Develop evaluation frameworks for accuracy, safety, and latency; contribute to shared AI engineering standards; collaborate with customer engineering teams; and travel 20–40% for on-site customer and partner work.

Lead deployment of North product in private cloud environments, partnering with clients to assess infrastructure needs and resolving technical issues effectively.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.

Partner with leaders to scale organisation design, leadership capability, performance, talent strategy, team effectiveness, and employee experience across a distributed, fast-growing AI company. Coach managers, support retention and onboarding, and help evolve People processes and infrastructure.

Partner with senior leaders across a global technology organization to guide organizational design, leadership development, talent and succession planning, engagement, retention, capability building, and people strategy. The role supports a rapidly scaling AI company, combines strategic advising with hands-on execution, and helps build scalable People practices across distributed teams and regions.

Develop and deploy applied machine learning solutions using large language models for enterprise customers. Lead projects from ideation through production, align engineering and product teams, mentor distributed engineers, identify model gaps, define technical direction, collaborate with partners, and support patent preparation.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

Build and maintain integrations for North's agentic platform, own the end-to-end integration pipeline, create evals and tests to ensure reliability, tune tool descriptions, and help other engineers add and maintain integrations while using AI responsibly to improve performance and quality.