Applied AI Engineer – Agentic Workflows (Korea)

About the Role

Day-to-day, you will be collaborating with cross-functional teams, including product and platform teams, to ensure seamless integration of AI systems into customers' workflows. Your expertise in AI, particularly in Large Language Models, will be crucial in balancing rapid iteration with the requirement for enterprise-grade solutions. You will also be responsible for mentoring engineers across distributed teams, driving clarity in ambiguous situations, and contributing to shared frameworks that enable consistent delivery across customers.

Your role will be pivotal in Cohere's mission to scale intelligence to serve humanity. By working on the design, build, and deployment of agentic workflows, you will be directly contributing to Cohere's goal of making AI accessible and beneficial to a wide range of industries and applications.

What You Will Do

• Work closely with enterprise customers to translate business problems into agentic problems with clear success criteria and evaluation methodologies.
• Provide technical leadership across the development and evaluation lifecycle of agentic workflows.
• Lead the design, build, and delivery of LLM-powered agents that integrate with tools and data sources with enterprise-grade reliability and performance.
• Define and apply evaluation and quality standards to measure the success, failures, and regressions of agentic workflows.
• Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
• Collaborate with customers, product, and platform teams to shape how agentic systems are built, evaluated, and deployed at scale.
• Mentor engineers across distributed teams to raise engineering quality across the organization.
• Contribute to shared frameworks and patterns that enable consistent delivery across customers.
• Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
• Engage in post-deployment iteration to ensure the continuous improvement of agentic workflows.

What We Are Looking For

• 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, vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, 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.

Nice to Have

• Experience with agile development methodologies.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with DevOps practices and tools like Docker, Kubernetes.
• Certification in AI, machine learning, or a related field.

Benefits and Perks

• Competitive compensation package.
• Opportunities for professional growth and development in a cutting-edge field.
• Collaborative and dynamic work environment.
• Flexible working hours and remote work options.
• Access to the latest technologies and tools in AI and software development.
• Recognition and reward for outstanding performance and contributions.
• Comprehensive health insurance and benefits package.
• Paid time off and holidays.
• Opportunities for travel and professional networking.

• Tip: Highlight your experience with Large Language Models and agentic workflows in your resume and cover letter, as these are key requirements for the role.
• Be prepared to provide specific examples of how you have applied AI and machine learning principles to solve real-world problems.
• Showcase your proficiency in Python and/or JavaScript/TypeScript through personal projects or contributions to open-source repositories.
• Demonstrate your understanding of the challenges and opportunities in AI adoption for enterprise customers and how you can contribute to Cohere's mission.
• Prepare to discuss your approach to debugging and improving agent behavior, as well as your experience with evaluation and quality standards.
• Consider creating a portfolio that showcases your work in AI and machine learning, including any research papers, projects, or certifications you have obtained.
• When negotiating salary, highlight your unique skills and experience, and be prepared to discuss how your contributions will impact the company's growth and success.