Enterprise AI Engineer — Agentic Workflows & LLM Agents

Cohere Inc.

San Francisco, Northern (CA, KY)

Hybrid

USD 130,000 - 260,000

Full time

15 hours ago
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Benefits offered by this job

Lunch stipend
Health benefits
Pension / RRSP matching
Parental leave
Enrichment benefits
Conferences stipend
Vacation (6 weeks)
Home office stipend

Job summary

Cohere Inc. is seeking a technically hands-on role to design and deploy production-grade, Python-based AI solutions. You will lead the development of LLM-powered agents, integrating across tools, APIs, and sensitive data sources, with a focus on reliability, scalability, and enterprise readiness.

The role covers end-to-end product delivery for Cohere’s North AI workspace and requires building robust evaluation frameworks and collaborating with enterprise customers on complex problems.

Qualifications

  • Hands-on production-grade software in Python.
  • Built and deployed RAG/agentic applications.
  • Familiar with frontier models, vector DBs, orchestration frameworks.
  • Ability to build robust evaluation frameworks for agent accuracy, safety, and latency.
  • Experience working directly with customers and translating needs into specs.

Responsibilities

  • Translate business problems into agentic workflows with clear criteria.
  • Design, build, and ship LLM-powered agents across tools and data sources.
  • Develop features for North, the AI workspace platform, through full product lifecycle.
  • Own use-case scoping end-to-end, including frontend work when needed.
  • Contribute to shared frameworks and patterns for consistent delivery.
  • Drive clarity and alignment to raise engineering quality.

Skills

Python
RAG systems
Agentic apps
LLM stack
Customer-facing
End-to-end ownership

Tools

Vector databases
Orchestration frameworks
ReAct pattern

Job description

Cohere Inc. is seeking a technically hands-on role to design and deploy production-grade, Python-based AI solutions. You will lead the development of LLM-powered agents, integrating across tools, APIs, and sensitive data sources, with a focus on reliability, scalability, and enterprise readiness.

The role covers end-to-end product delivery for Cohere’s North AI workspace and requires building robust evaluation frameworks and collaborating with enterprise customers on complex problems.

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