Forward Deployed Engineer, Prompt Specialist at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Finance, Healthcare, Telecommunications, TechnologyIndustries

Requirements

Proven experience deploying LLM-powered agents in production environments, with a focus on scalability and real-world impact
Enthusiasm for solving complex challenges in enterprise settings through agent-based solutions
Ability to thrive in collaborative environments, bringing diverse perspectives and knowledge from varied industries
Comfortable operating at the intersection of software engineering and machine learning, bridging technical and business needs
Background in analytics, NLP, or related fields
0–5 years of professional experience, with a growth mindset and eagerness to shape the future of AI-driven agents

Responsibilities

Review, refine, and iterate on prompts for Cohere’s Command model to enhance performance across diverse customer agents and use cases
Collaborate with clients to refine custom tools and conduct rigorous evaluations to ensure alignment with their objectives
Contribute to defining and shaping core agents for out-of-the-box (OOTB) deployment on Cohere’s North platform, driving innovation in agent capabilities
Deeply understand customer business needs, then design and build tailored agents that deliver measurable improvements to their operations
Partner directly with customers to define and track key metrics such as quality, efficiency, and accuracy, ensuring agents meet and exceed their goals

Skills

Prompt Engineering

Prompt Optimization

Cohere Command

Tool Development

Agent Development

RAG

Semantic Search

AI Agents

North Platform

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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