Applied AI Engineer - Agentic Workflows at Cohere

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