[Remote] Software Engineer, Atlas at Cohere

Toronto, Ontario, Canada

Cohere Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, TechnologyIndustries

Requirements

  • Professional experience coding in Go
  • Experience with database migrations, ETL pipelines, and transforming raw data into reliable, structured formats
  • Built personal or professional projects using search, retrievals, or vector databases
  • Strong coding abilities and comfortable working across the stack
  • Excited by the challenge of securely connecting users to their most relevant data within North

Responsibilities

  • Build and ship features into North, our AI workspace platform
  • Write robust integrations to reliably sync, parse, and index documents for downstream AI use
  • Implement efficient, secure logic that keeps user documents accurate and up to date
  • Collaborate across the North stack to deliver seamless user experiences when connecting to and interacting with data
  • Work closely with researchers to refine parsing strategies and techniques for the most effective agentic search outcomes

Skills

Software Engineering
Integrations
Data Syncing
Document Parsing
Indexing
AI Platforms
Secure Logic
Agentic Search
RAG

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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