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About the Role
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, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re 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. You’ll 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. Agents must be reliable, observable, safe, and auditable from day one.
Responsibilities
- Work closely with 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 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 20–40% to work on-site with customers and partners
Requirements
- Hands-on experience building and deploying production-grade software in Python; write clean, testable, observable, scalable code
- Experience building and deploying highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- Proven ability to build robust evaluation frameworks to measure agent accuracy, safety, and latency
- Experience owning the full scope of a use case end-to-end
- Thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
Skills
- Applied AI
- Large Language Models (LLMs)
- Agentic workflows
- Python
- RAG
- ReAct
- Plan-and-Execute
- LLM stack
- Front-end development
Location
- Toronto
- London
- New York City
- San Francisco
- Montreal
- Paris
- Berlin
- Seoul
- Remote
Work Type
- Full-Time
- Remote-friendly
Experience Level
- Software Engineer
Benefits
- Weekly lunch stipend of $75/£75 or equivalent
- Full health and dental benefits
- Separate budget for mental health
- RRSP matching, 401K, Pension Scheme
- 100% Parental Leave top-up for up to 6 months, for either parent
- Annual enrichment benefits (Arts & culture, fitness/wellness, quality time, workspace improvement)
- Education & learning stipend for conferences, courses, and coaching
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if remote
- Annual company offsite
- Co-working benefit for remote employees
- Home office stipend of $500
About the Company
- Cohere is the leading security-first enterprise AI company.
- We build cutting-edge foundation AI models and end-to-end products designed to solve real-world business problems.
- We’re training and deploying frontier models for enterprises building AI systems.
- We believe 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.
- Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
- We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul.
Equal Opportunity
- We 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.
- Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process.
- All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias.
- If jobs are viewed on other sites then please verify these through our official careers page.