Senior/Staff Backend Engineer, North at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Have shipped (lots of) Python in production
Have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users
Have strong coding abilities and are comfortable working across the stack
Able to read and understand, and even fix issues outside of the main code base
Have worked in both large enterprises and startups
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
Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms
Sometimes need to re-invent the wheel due to security and privacy requirements, and won’t be able to use the most popular libraries or tooling
Collaborate with researchers to productionize state-of-the-art models and techniques

Skills

Key technologies and capabilities for this role

PythonRAGAutonomous AgentsBackend DevelopmentLow-Resource DeploymentSecurityPrivacyProductionize Models

Questions & Answers

Common questions about this position

What is the salary for this Senior/Staff Backend Engineer position?

This information is not specified in the job description.

Is this role remote or hybrid?

The position is hybrid.

What skills are required for this backend engineer role?

Candidates should have shipped lots of Python in production, built and deployed performant RAG/agentic applications to millions of users, strong coding abilities across the stack, and experience in both large enterprises and startups.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast for customers, values a team of the best in the world who are passionate about their craft, and celebrates diversity with an inclusive work environment.

What makes a strong candidate for this role even if they don't match perfectly?

Strong candidates excel in fast-paced environments, can execute amid shifting priorities, have production Python experience and RAG/agentic expertise, and are eager to work hard on the mission with passionate teammates; apply even if not a perfect match.

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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