About the job
Who We Are:
At Cohere, our mission is to amplify intelligence for the betterment of humanity. We are at the forefront of developing and deploying advanced models for developers and enterprises that are revolutionizing AI systems. Our innovations are driving remarkable experiences in content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We are committed to playing a pivotal role in the widespread adoption of AI technologies.
We take immense pride in our work. Each team member is dedicated to enhancing our models' capabilities and delivering exceptional value to our customers. Our culture is centered around diligence and agility, ensuring we consistently prioritize our customers' needs.
Cohere comprises a diverse team of researchers, engineers, designers, and more, all of whom are experts in their respective fields. We believe that a broad spectrum of perspectives is essential for creating outstanding products.
Join us in our quest to shape the future of AI!
Why This Role Matters:
We are a rapidly expanding startup focused on creating production-grade AI agents for enterprise clients. We are seeking Applied AI Engineers who will take charge of designing, building, and deploying agentic workflows powered by Large Language Models (LLMs). You will guide the transition from initial prototypes to fully operational AI agents that deliver tangible business benefits within enterprise workflows.
In this role, you will engage directly with customers to tackle real-world business challenges, often creating pioneering agent workflows that seamlessly integrate LLMs with various tools, APIs, and data sources. While our pace is fast-paced like a startup, we maintain high enterprise standards: our agents must be reliable, observable, safe, and auditable from day one.
You will work collaboratively with customers, product teams, and platform engineers, significantly influencing how we build, evaluate, and deploy agentic systems at scale.
Your Responsibilities:
Customer-Focused Technical Impact
Collaborate closely with enterprise customers to convert complex, high-stakes business issues into well-defined agentic challenges with clear success metrics and evaluation methods.
Provide technical leadership throughout the entire development and evaluation lifecycle, including iterative enhancements post-deployment for agentic workflows.
Design, Build, and Launch Agents
Lead the design, construction, and delivery of LLM-based agents that reason, plan, and execute across diverse tools and data sources, ensuring enterprise-level reliability and performance.
Drive innovation in agentic systems by implementing best practices in deployment and evaluation.
