Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
Why this role?We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
What You’ll DoWork 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.
Bachelor’s degree in Computer Science or a related technical field.
Strong programming skills in Python and/or JavaScript/TypeScript.
3+ years of experience building and shipping production software; 2+ years working with LLMs or AI APIs.
Hands-on experience with modern LLMs (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions).
Practical experience with RAG, agent workflows, evaluation, and performance optimization.
Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling.
Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk.
Strong communication skills and experience leading technical discussions with customers or partners.
Experience working in a fast-moving startup environment.
Prior work delivering AI or automation solutions to enterprise customers.
Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques.
Experience with cloud deployment and production operations for AI systems.
Background in applied ML, NLP, or decision systems.
Strong written and verbal communication skills.
Ability and interest to travel up to 25%, flexible.
Build production-grade AI agents used in real enterprise workflows.
Operate at scale while retaining end-to-end ownership.
Work on hard problems in agent design, evaluation, and reliability.
Shape shared platforms and standards, not just individual features.
Move fast with a high bar for quality, safety, and reliability.
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a separate budget for mental health.
RRSP matching, 401K, Pension Scheme.
100% Parental Leave top-up for up to 6 months, for either parent.
Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.
Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
