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 travel up to 25%, flexible.

Why Join Us

• 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.

Full-Time Employees at Cohere enjoy these Perks:

• 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.

How and Where We Work:

• 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.