C

Cohere

Builds language models and workplace AI tools

Forward Deployed Engineer - Agentic Platform

AI Application EngineeringConfirmed live in the last 24 hours
Full-time₩230M - ₩315M /yr

About the Job

Requirements

  • Demonstrated ability to build, ship, and operate production-grade software systems.
  • Substantial hands-on experience designing, building, evaluating, and fine-tuning large language model-based agents in real-world applications.
  • Deep familiarity with modern large language model ecosystems, including models such as GPT, Claude, and Gemini; vector databases; retrieval-augmented generation architectures; agent and orchestration frameworks; prompt engineering; tool use; multi-step agent workflows such as ReAct; and robust failure handling.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Experience working directly with customers or stakeholders to design and deliver large language model-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.

Responsibilities

  • 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.
  • Travel up to 20–40% to work on-site with customers and partners.
  • Lead the design, build, and delivery of large language model-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.
  • Build and ship features for North, the AI workspace platform, working across the full product lifecycle from conceptualization through production.
  • Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands, including frontend, to drive the most effective solution.
  • 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.

Desired Qualifications

  • Experience setting architectural standards for AI and agentic systems across distributed teams.
  • Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it.
  • Exposure to regulated or sensitive industry environments, including finance, healthcare, or telecommunications.
  • Experience with enterprise security, compliance, or auditability requirements for AI systems.

About the Company

Cohere

Builds language models and workplace AI tools

Cohere develops language models and AI software for businesses that need to search documents, generate text and automate work. Its customers include large organizations and developers building AI features into their own applications, with tools that connect company information to employee workflows. The North platform brings assistants and task automation into a shared workspace, while its models handle text generation and retrieval through software interfaces. Cohere earns revenue from paid model usage, dedicated deployment capacity and enterprise software agreements tailored to customer needs. The company was founded in 2019 and has its headquarters in Toronto, Ontario.

Company size
501-1,000
Company stage
Series E
Total funding
$2.1B
Headquarters
Toronto, Canada
Founded
2019

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