Cohere
Forward Deployed Engineer, Agentic Platform
$175K–$385K
United States +8 · Remote · Full-time · Posted Sep 1, 2026
- Location
- United States
New Jersey
Boston
Canada
New York
Washington, DC
Ottawa
Toronto
Montreal
About the job
Build and deploy production-grade LLM agents and features for Cohere’s North platform, partnering with enterprise customers to solve business problems and integrate AI into workflows.
What you'll do
- Translate customer problems into agent workflows with success criteria and evaluation methods; lead technical discussions.
- Design, build, and deliver reliable LLM agents that work across tools, APIs, and enterprise data; ship North features through production.
- Own use cases end-to-end, contribute shared engineering patterns, and travel on-site with customers and partners.
What they ask for
- Hands-on experience building and deploying production-grade software in Python.
- Experience building and deploying performant RAG and agentic applications, including multi-step planning and execution.
- Deep familiarity with LLMs, vector databases, and orchestration frameworks; ability to build evaluation frameworks for accuracy, safety, and latency.
- Experience working directly with customers and translating ambiguous needs into technical specifications; ownership of use cases end-to-end.
Nice to have
- Experience setting architectural standards for AI and agentic systems across distributed teams.
- Exposure to regulated or sensitive industries, enterprise security, compliance, or AI auditability.
Pay
CA$175K – CA$385K (base salary)
Tools
Python, LLMs, RAG, ReAct, Plan-and-Execute, vector databases
AI focus
Build and deploy LLM-powered agents and agentic workflows for enterprise use, with emphasis on reliability, observability, safety, evaluation, and auditability.
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