
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.
🕒 January 29
🗣️🇰🇷 Korean Required
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11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.
• 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.
• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)
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