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Cohere

Forward Deployed Engineer, Agentic Platform

УдалённоUnited States только
Опубликовано
Роль
Фулстек
Занятость
Полная занятость
$140k–$325k/yr
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Доступно для: US only. Укажите, откуда вы работаете, чтобы проверить доступность.

Коротко по делу

We're looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.

Ключевые навыки

PythonRAGLLM agents

Обязательные навыки

LLM/vector databases/orchestration frameworksReact/Plan-and-Execute

Желательные навыки

frontend

Обязательные языки

English unknown

Чем предстоит заниматься

  • Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
  • Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
  • Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production
  • Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
  • Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
  • Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
  • Travel up to 20–40% to work on-site with customers and partners

Что требуется

  • Hands-on experience building and deploying production-grade software in Python; write clean, testable, observable, scalable code
  • Built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
  • Deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
  • Proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
  • Experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
  • Experience owning the full scope of a use case end-to-end
  • Thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting

Преимущества

  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch
  • Full health and dental benefits, including a separate budget for mental health
  • RRSP matching, 401K, Pension Scheme
  • 100% Parental Leave top-up for up to 6 months, for either parent
  • Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit
  • Education & learning stipend for conferences, courses, and coaching
  • 6 weeks of paid vacation (30 working days)
  • Budget for traveling to other offices if you are remote, plus an annual company offsite
  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events
  • For those not near an office: a co-working benefit so you can work alongside others in your city
  • Everyone receives a $500 home office stipend to set up your workspace properly

Canadian artificial intelligence company building foundational models

AIСтартапcohere.com/

Что говорят о компании

2.5/ 5

$140k–$325k/yr