Senior Software Engineer, Secure Agents

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

Requirements

Candidates should have 5+ years of experience in software engineering with a strong focus on user-facing security features. They must possess strong development skills, with extensive experience shipping Python in production, and a solid understanding of security principles such as session management, multi-factor authentication, and secure coding practices. Strong coding abilities across the full stack are expected, including the ability to read, understand, and fix issues outside the primary codebase. A flexible and constructive problem-solving approach, along with the ability to execute in fast-paced, dynamic environments, is also required.

Responsibilities

The Senior Software Engineer will build and ship security features for Cohere's AI workspace platform, North. This includes developing autonomous agents capable of interacting with sensitive enterprise data. Responsibilities also involve writing and deploying minimal code for low-resource environments with stringent deployment mechanisms, and integrating new tools to enhance North's security capabilities. The engineer will perform application security testing to assess code resilience against real-world threats, and may need to innovate solutions when standard libraries or tooling are not suitable due to security and privacy concerns.

Skills

Secure-by-design software engineering

AI innovation

Enterprise security

Software architecture

Security features

Autonomous agents

Sensitive enterprise data

Low-resource environments

Stringent deployment mechanisms

Application security testing

Resilience testing

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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