Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers.
Cohere is a team of researchers engineers designers and more who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients engineering teams youll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance healthcare and telecommunications.
Were looking for Software Engineers with Applied AI experience who can own the design build and deployment of agentic workflows powered by Large Language Models (LLMs) from early prototypes to production-grade AI agents to deliver concrete business value in enterprise workflows. Youll work closely with customers on real-world business problems often building first-of-their-kind agent workflows that integrate LLMs with tools APIs and data sources. While our pace is startup-fast the bar is enterprise-high: agents must be reliable observable safe and auditable from day one.
Note: between 20 - 40% travel anticipated
Location: Eastern Time Zone (US/Canada)
In this role you will:
Work closely with our enterprise customers to translate high-value ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
Lead the design build and delivery of LLM-powered agents that reason plan and act across tools APIs and sensitive enterprise data sources with enterprise-grade reliability and performance
Build and ship features for North our AI workspace platform working across the full product lifecycle from conceptualisation through production
Take ownership of scoping and shaping use cases end-to-end flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
Contribute to shared frameworks and patterns that enable consistent high-quality delivery across customers and teams
Drive clarity in ambiguous situations build alignment and raise engineering quality across the organization
Travel up to 2040% to work on-site with customers and partners
You may be a good fit if:
You have hands-on experience building and deploying production-grade software in Python; you write clean testable observable scalable code
Youve built and deployed highly performant RAG and agentic applications including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
Youre deeply familiar with the LLM stack: frontier models vector databases and orchestration frameworks
You have a proven ability to build robust evaluation frameworks moving well beyond trial and error to measure agent accuracy safety and latency
Youre experienced working directly with customers and can lead technical discussions with enterprise stakeholders translating ambiguous business needs into concrete technical specs
You have experience owning the full scope of a use case end-to-end
You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
Its a bonus if you have:
Experience setting architectural standards for AI and agentic systems across distributed teams
Experience flexing into unfamiliar technical areas such as frontend when the problem calls for it
Exposure to regulated or sensitive industry environments (finance healthcare telecoms)
Experience with enterprise security compliance or auditability requirements for AI systems
If some of the above doesnt line up perfectly with your experience we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates but it doesnt limit the applications our recruiters may review or consider.
Full-Time Employees at Cohere enjoy these Perks:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend in-office lunches & snacks
Full health and dental benefits including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture fitness and well-being quality time and workspace improvement
Remote-flexible offices in Toronto New York San Francisco London and Paris as well as a co-working stipend
6 weeks of vacation (30 working days!)
Required Experience:
Unclear Seniority
Who are weOur mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to th...
Who are we
Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers.
Cohere is a team of researchers engineers designers and more who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients engineering teams youll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance healthcare and telecommunications.
Were looking for Software Engineers with Applied AI experience who can own the design build and deployment of agentic workflows powered by Large Language Models (LLMs) from early prototypes to production-grade AI agents to deliver concrete business value in enterprise workflows. Youll work closely with customers on real-world business problems often building first-of-their-kind agent workflows that integrate LLMs with tools APIs and data sources. While our pace is startup-fast the bar is enterprise-high: agents must be reliable observable safe and auditable from day one.
Note: between 20 - 40% travel anticipated
Location: Eastern Time Zone (US/Canada)
In this role you will:
Work closely with our enterprise customers to translate high-value ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
Lead the design build and delivery of LLM-powered agents that reason plan and act across tools APIs and sensitive enterprise data sources with enterprise-grade reliability and performance
Build and ship features for North our AI workspace platform working across the full product lifecycle from conceptualisation through production
Take ownership of scoping and shaping use cases end-to-end flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
Contribute to shared frameworks and patterns that enable consistent high-quality delivery across customers and teams
Drive clarity in ambiguous situations build alignment and raise engineering quality across the organization
Travel up to 2040% to work on-site with customers and partners
You may be a good fit if:
You have hands-on experience building and deploying production-grade software in Python; you write clean testable observable scalable code
Youve built and deployed highly performant RAG and agentic applications including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
Youre deeply familiar with the LLM stack: frontier models vector databases and orchestration frameworks
You have a proven ability to build robust evaluation frameworks moving well beyond trial and error to measure agent accuracy safety and latency
Youre experienced working directly with customers and can lead technical discussions with enterprise stakeholders translating ambiguous business needs into concrete technical specs
You have experience owning the full scope of a use case end-to-end
You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
Its a bonus if you have:
Experience setting architectural standards for AI and agentic systems across distributed teams
Experience flexing into unfamiliar technical areas such as frontend when the problem calls for it
Exposure to regulated or sensitive industry environments (finance healthcare telecoms)
Experience with enterprise security compliance or auditability requirements for AI systems
If some of the above doesnt line up perfectly with your experience we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates but it doesnt limit the applications our recruiters may review or consider.
Full-Time Employees at Cohere enjoy these Perks:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend in-office lunches & snacks
Full health and dental benefits including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture fitness and well-being quality time and workspace improvement
Remote-flexible offices in Toronto New York San Francisco London and Paris as well as a co-working stipend