Enterprise LLM Agent Engineer (On-Site Travel)

Cohere

Brussel Hoofdstad

Hybride

EUR 90 000 - 130 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Lunch stipend $75/£75 per week
Health and dental benefits
RRSP matching
Pension Scheme
100% …

Résumé du poste

Cohere is seeking Software Engineers with Applied AI to design, build, and deploy agentic workflows powered by Large Language Models. You will deliver production-grade AI agents, integrating LLMs with tools, APIs, and data sources for enterprise workflows.

You will collaborate with customers on real-world problems, ensuring agents are reliable, observable, safe, and auditable from day one. Travel to client sites is required.

Qualifications

  • Hands-on experience building production-grade software in Python.
  • Experience deploying high-performance RAG and agentic apps.
  • Familiarity with frontier models, vector databases, and orchestration frameworks.
  • Ability to build robust evaluation frameworks for agent accuracy, safety and latency.
  • Experience working directly with customers and translating needs into technical specs.

Responsabilités

  • Translate high-value business problems into well-framed agentic workflows with clear success criteria.
  • Lead design, build, and delivery of LLM-powered agents across tools, APIs and data sources.
  • Build and ship features for North across the full product lifecycle from concept to production.
  • Own end-to-end use-case scoping and shape, including frontend work when needed.
  • Contribute to shared frameworks and patterns for consistent delivery across customers.
  • Drive clarity in ambiguous situations and raise engineering quality across the org.
  • Travel up to 20–40% to work on-site with customers and partners.

Connaissances

Python
LLM stack
Agentic workflows
Deploying AI models
Customer collaboration

Outils

Vector databases
Orchestration frameworks
ReAct
APIs

Description du poste

Cohere is seeking Software Engineers with Applied AI to design, build, and deploy agentic workflows powered by Large Language Models. You will deliver production-grade AI agents, integrating LLMs with tools, APIs, and data sources for enterprise workflows.

You will collaborate with customers on real-world problems, ensuring agents are reliable, observable, safe, and auditable from day one. Travel to client sites is required.

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