7 months ago
Responsibilities
- Translate ambiguous enterprise business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.
- Provide technical leadership across the development, evaluation, deployment, and post-deployment iteration lifecycle for agentic workflows.
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources.
- Evolve rapid prototypes into stable, reusable enterprise solutions while balancing iteration speed with reliability and performance requirements.
- Define and apply evaluation and quality standards to measure success, failures, and regressions.
- Debug agent behavior and improve prompts, workflows, tools, and guardrails.
- Mentor engineers across distributed teams and raise engineering quality across the organization.
- Contribute to shared frameworks and patterns that enable consistent delivery across customers.
Requirements
- 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 LLM ecosystems, including GPT, Claude, Gemini, vector databases, RAG architectures, agent and orchestration frameworks, prompt engineering, tool use, multi-step workflows such as ReAct, and 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 for business needs.
- Proven team-level technical leadership guiding architecture, implementation, and delivery of complex AI systems.
- Strong written and verbal communication skills.
- Fluency in English and Korean.
- Ability and interest to travel up to 25%, with flexibility.
Benefits
- Weekly lunch stipend, in-office lunches, and snacks.
- Full health and dental benefits, including a separate mental health budget.
- 100% parental leave top-up for up to 6 months.
- Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace improvement.
- Remote-flexible work, offices in Toronto, New York, San Francisco, London, and Paris, plus a co-working stipend.
- Six weeks of vacation, or 30 working days.
Tech Stack
Categories
About Cohere
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3