[Remote] Senior Software Engineer, Secure Agents at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise Software, CybersecurityIndustries

Skills

Key technologies and capabilities for this role

Secure-by-design software engineeringAI innovationEnterprise securitySoftware architectureSecurity featuresAutonomous agentsSensitive enterprise dataLow-resource environmentsStringent deployment mechanismsApplication security testingResilience testing

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What experience is required for this role?

Candidates need 5+ years of software engineering experience with a strong focus on developing user-facing security features, proficiency in shipping Python in production, solid knowledge of security principles like session management and multi-factor authentication, and strong full-stack coding abilities.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast to serve customers, values a team of top experts in their fields, emphasizes diverse perspectives, and fosters an inclusive work environment.

What makes a strong candidate for this position?

A strong candidate has 5+ years of experience in software engineering focused on user-facing security features, ships lots of Python in production, knows security principles deeply, codes strongly across the stack, thrives in fast-paced environments, and brings a flexible problem-solving approach—even if experience doesn't match perfectly, apply if passionate about the mission.

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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