9 months ago
Responsibilities
- Translate high-value, ambiguous enterprise business problems into well-framed agentic problems with clear success criteria and evaluation methodologies
- Provide technical leadership across the full development, evaluation, and post-deployment iteration lifecycle for agentic workflows
- Design, build, and deliver LLM-powered agents that reason, plan, and act across tools and data sources
- Evolve prototypes into stable, reusable solutions while balancing rapid iteration with enterprise requirements
- Define and apply evaluation and quality standards to measure success, failures, and regressions
- Debug agent behavior and systematically improve prompts, workflows, tools, and guardrails
- Contribute to shared frameworks and patterns that enable consistent delivery across customers
- Mentor engineers across distributed teams and raise engineering quality across the organization
- Collaborate with customers, product teams, and platform teams to shape how agentic systems are built, evaluated, and deployed at scale
Requirements
- Substantial experience building, shipping, and maintaining production-grade software using Python or TypeScript
- Hands-on experience building agents that plan and execute multi-step tasks, including ReAct or Plan-and-Execute architectures
- Deep familiarity with frontier models such as GPT, Claude, and Gemini, as well as RAG and vector databases such as Pinecone and Weaviate
- Experience with orchestration frameworks such as LangGraph, CrewAI, or custom state machines
- Proven ability to build robust evaluation frameworks for agent accuracy, safety, and latency
- Experience leading technical discussions with enterprise customers and translating ambiguous business needs into concrete technical specifications
- Experience mentoring distributed teams and setting architectural standards for AI and agentic systems
- Strong written and verbal communication skills
- Willingness and ability to travel up to 25%
Benefits
- Open and inclusive culture and work environment
- 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 with offices in Toronto, New York, San Francisco, London, and Paris
- Co-working stipend
- Six weeks of vacation, or 30 working days
Tech Stack
Categories
About Cohere
Cohere builds large language models and an enterprise AI platform that companies use for search, summarization, and workflow automation, delivered via API or private deployments. Founded in 2019 and headquartered in Toronto, it focuses on multilingual models, data controls, and options to run across major clouds or on-premises. The business is privately held and serves security- and compliance-sensitive organizations.