Applied AI Engineer – Agentic Workflows (Korea)

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

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. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

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.

• 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.

• 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.

• 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.

• 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 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.

• Strong written and verbal communication skills.

• Fluency in English and Korean language.

• Ability and interest to travel up to 25%, flexible.