Forward Deployed Engineer, Agentic Platform at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Healthcare, TelecommunicationsIndustries

Requirements

Experience with and enjoy working directly with customers
Shipped (lots of) Python in production
Built and deployed highly performant client-side or server-side RAG/agentic applications
Experience deploying enterprise software in private/hybrid cloud environments
Strong coding abilities and comfortable working across the stack, able to read, understand, and fix issues outside of the main code base
Strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
Excel in fast-paced environments and can execute while priorities and objectives are a moving target

Responsibilities

Build and ship features for North, our AI workspace platform
Develop autonomous agents that talk to sensitive enterprise data
Experiment at a high velocity and with a high level of quality to engage customers and deliver solutions that exceed their expectations
Work across the entire product lifecycle from conceptualization through production
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout

Skills

backend

infrastructure

agent development

deployments

AI agents

RAG

semantic search

content generation

AI integration

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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