Cohere

Senior Software Engineer, Secure Agents

Toronto, Ontario, Canada

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$150,000 – $220,000Compensation

Senior (5 to 8 years), Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Software Development, Artificial Intelligence, SecurityIndustries

Requirements

Candidates should have 5+ years of previous experience in software engineering with a strong focus on developing user-facing security features, strong development skills, and the ability to ship Python in production. They should possess a solid knowledge of security principles like session management, multi-factor authentication, and secure coding practices, along with the ability to read and understand, and even fix issues outside of the main code base.

Responsibilities

As a Senior Software Engineer with a security focus, the candidate will build and ship security features for North, Cohere’s AI workspace platform, develop autonomous agents that interact with sensitive enterprise data, write and ship minimal code that runs in low-resource environments with stringent deployment mechanisms, pull in new tools to enhance North’s security capabilities, perform application security testing for their code, and potentially re-invent security solutions when necessary.

Skills

Python

Session Management

Multi-Factor Authentication

Secure Coding Practices

Application Security Testing

Autonomous Agents

Deployment Mechanisms

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.

Key Metrics

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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