Cohere

DevOps Engineer

• Build self-service systems that automate managing, deploying and operating services.
• This includes our custom Kubernetes operators that support language model deployments.
• Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.
• Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation.
• Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback.
• Develop our team through knowledge sharing and an active review process.

Site Reliability Engineer – Inference Infrastructure

Full-stack Engineer

• Lead a diverse team of engineers in their effort to create high-performance, secure language models for dev-centric enterprise products.
• Create an efficient and effective organizational structure for the Engineering team.
• Help us scale! Provide vision and direction around code principles, project structuring, best practices, team dynamics, and engineering culture.
• Delivering large-scale dev-centric enterprise products.
• Aligning our teams around a strong product vision and nurturing a culture of innovation, creativity, and collaboration.
• Helping the team thrive by defining paths for professional development among our Engineers.
• Overseeing and participating in the day-to-day running of our Engineering teams.
• Closely partnering with Product, Design, and ML teams.
• Communicating and presenting plans and updates to senior executives and the wider organization.

VP Product Engineering

AI Engineer

• Work with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.
• Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
• Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
• Define and apply evaluation and quality standards to measure success, failures, and regressions.
• Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
• Contribute to shared frameworks and patterns that enable consistent delivery across customers.

Applied AI Engineer – Agentic Workflows

Solutions Engineer

• Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.
• Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.
• Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.
• Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.
• Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.
• Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.

Solutions Architect

Product Designer

• Own the design process end-to-end for data collection and annotation tools. Create intuitive interfaces that enable both expert and non-expert annotators to provide high-quality feedback efficiently and at scale.
• Balance technical complexity with usability to deliver intuitive workflows for the annotation experience, understanding how task design, instruction clarity, and interface patterns impact data quality and throughput.
• Collaborate closely with modeling teams, data operations, and cross-functional stakeholders to understand evolving data needs and translate technical requirements into annotator-friendly experiences.
• Drive research initiatives with annotators and data operations teams to identify pain points, validate design decisions, and continuously improve the quality and efficiency of data collection.
• Design patterns and components that scale across diverse annotation tasks, model types, and quality requirements.

Product Designer, Human Data

Recruitment

• Own a world class full lifecycle recruitment process, attracting and recruiting top talent for a large volume of senior level roles across engineering teams.
• Partner with hiring managers and org leaders on effective recruiting strategies. Influence where necessary.
• Manage recruiting funnels in Ashby, with diligence.
• Proactively source and recruit top talent.
• Take initiative, introducing talent projects in an effort to optimize efficiencies and take ownership of these projects.

Site Reliability Engineer – Inference Infrastructure

VP Product Engineering

Applied AI Engineer – Agentic Workflows

Solutions Architect

Product Designer, Human Data

Talent Acquisition Partner – Tech Recruiter

Solutions Architect