Forward Deployed Engineer, Agentic Platform (Korea)

Cohere
Seoul
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Leadership","Customer collaboration","Problem-solving","Stakeholder management"]

Join Cohere as an Applied AI Engineer focused on designing, building, and deploying agentic workflows powered by LLMs for enterprise customers. Translate real-world problems into agentic solutions, lead production deployments, mentor engineers, and shape evaluation standards while collaborating with customers, product, and platform teams. Proficiency in Python and/or JavaScript/TypeScript is essential, with travel up to 25% welcomed.

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FursaFursa
Cohere
Cohere
7 months ago

Forward Deployed Engineer, Agentic Platform (Korea)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Join Cohere as an Applied AI Engineer focused on designing, building, and deploying agentic workflows powered by LLMs for enterprise customers. Translate real-world problems into agentic solutions, lead production deployments, mentor engineers, and shape evaluation standards while collaborating with customers, product, and platform teams. Proficiency in Python and/or JavaScript/TypeScript is essential, with travel up to 25% welcomed.
Location: Seoul
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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 improve prompts, workflows, tools, and guardrails.
Travel: Low travel

Pay and Benefits

Perks:Health InsuranceDentalParental LeaveCo-working StipendRemote WorkPaid LeaveMeal Allowance

Key Requirements

  • •Strong proficiency in Python and/or JavaScript/TypeScript.
  • •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.
  • •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.
Experience:AI/MLEnterprise Software
Skills:CommunicationLeadershipCustomer collaborationProblem-solvingStakeholder management
Languages:EnglishKorean
Tech Stack:PythonJavaScriptTypeScriptLLMsVector databasesRAGAgent orchestrationPrompt engineering

Company Brief

Cohere
Builds security-first foundation models and enterprise AI products (LLMs, retrieval, agent platforms) for regulated industries, enabling customizable, private deployments across cloud and on-premises for real-world business applications.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Toronto, Canada
Founded: 2019
Glassdoor
Glassdoor: 2.9
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