Applied AI Engineer – Agentic Workflows (Korea)

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 DO

Customer-Facing Technical Impact

• Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.

• Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows.

Agent Design, Build and Production launches

• Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance.

• 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.

Team Mentorship & Organizational Impact

• Mentor engineers across distributed teams.

• Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.

• Contribute to shared frameworks and patterns that enable consistent delivery across customers.

REQUIRED SKILLS & EXPERIENCE

Technical Foundations

• Demonstrated ability to build, ship, and operate production-grade software systems.

• Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications.

• Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling.

• Strong proficiency in Python and/or JavaScript/TypeScript.

Experience and Leadership

• Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs.

• Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems.

ADDITIONAL REQUIREMENTS

• Strong written and verbal communication skills.

• Fluency in English and Korean language.

• Ability and interest to trav