Applied AI Engineer - Agentic Workflows

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Cohere

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AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

Cohere seeks engineers to develop production-grade AI agents for enterprise customers at scale. The role involves designing and building LLM-powered agentic workflows from prototypes through production deployment, working directly with enterprise clients on real-world problems.

Key Responsibilities

Customer-Facing Work

  • Translate business challenges into well-defined agent problems with success metrics
  • Provide technical leadership across development and evaluation lifecycles
  • Contribute reusable frameworks and patterns

Agent Development

  • Lead design, build, and delivery of LLM-powered agents with enterprise reliability
  • Balance rapid iteration with production requirements
  • Define evaluation standards for success measurement
  • Debug agent behavior and improve prompts, workflows, and guardrails

Team Leadership

  • Mentor distributed team members
  • Drive clarity and alignment in ambiguous situations

Required Skills & Experience

  • Production-grade software development (Python/TypeScript)
  • Hands-on agentic architecture experience (ReAct, Plan-and-Execute patterns)
  • Deep familiarity with frontier LLMs (GPT, Claude, Gemini)
  • RAG, vector databases (Pinecone, Weaviate)
  • Orchestration frameworks (LangGraph, CrewAI, custom state machines)
  • Robust evaluation framework development
  • Enterprise customer stakeholder management
  • 5+ years experience, up to 25% travel

Benefits

  • 6 weeks vacation (30 working days)
  • 100% parental leave top-up (6 months)
  • Comprehensive health/dental coverage with mental health budget
  • Remote flexibility across Toronto, New York, San Francisco, London, Paris
  • Weekly lunch stipend and in-office amenities
  • Professional development allowances
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