[Remote] Backend Software Engineer, Agents at Cohere

Europe

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Enterprise SoftwareIndustries

Requirements

Have built, shipped & maintained production systems around LLMs
Experience owning complex features from design to deployment, with a focus on scalability and maintainability
Ability to work closely with researchers, engineers, and product teams to translate insights into actionable improvements
Have strong coding abilities and are comfortable working across the stack
Take a customer-focused, product-minded approach to building software, prioritising outcomes and impact
Thrive in fast-paced environments and can stay focused as priorities and objectives evolve

Responsibilities

Design, build, ship and maintain scalable features for the agentic chat loop in North, ensuring seamless scalability and performance
Take end-to-end ownership of features — from initial design and planning, through implementation, testing, and delivery
Apply your expertise to deliver at speed, making practical technical decisions that balance velocity with depth and quality
Collaborate closely across teams, maintaining high standards for communication, documentation, and testing

Skills

Backend Engineering

LLMs

Scalability

Production Systems

Feature Ownership

Design

Implementation

Testing

Deployment

Agentic Systems

Chat Loop

Performance Optimization

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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