Applied Artificial Intelligence Engineer, Cohere
Agents & Automations
$150-260k
Salary applicable to the US and varies depending on location. For Canada: $215,000 – $310,000. Other locations may vary
More information about location
Enterprise-grade AI solutions for real-world business problems
Be an early applicant
Enterprise-grade AI solutions for real-world business problems
501-1000 employees
Be an early applicant
$150-260k
Salary applicable to the US and varies depending on location. For Canada: $215,000 – $310,000. Other locations may vary
More information about location
501-1000 employees
Company mission
To empower businesses to scale innovation, boost productivity, and drive progress that reaches everyone.
Role
Who you are
- You have shipped LLM-powered, agent-powered, or AI-assisted product experiences into production, and improved them based on real-world feedback
- You are a strong software engineer who enjoys working across backend systems, user-facing product, data, evals, and model behavior
- You think in terms of user outcomes and system behavior, not just model metrics
- You have strong product taste and care about how the interface, workflow, and model work together to help users succeed
- You enjoy debugging messy real-world failures and turning what you learn from production, user testing, and evals into durable improvements
- You enjoy owning ambiguous problems end-to-end and working across system boundaries to ship something genuinely useful
- If any of the above doesn’t line up exactly with your experience, we still encourage you to apply
What the job involves
- North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI
- It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data
- North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications
- Some of our most important work is making the agents and AI-powered experiences inside North genuinely useful in the workflows customers rely on every day
- These systems become valuable when users can build with them, steer them, inspect their work, recover from errors, and trust them to complete messy tasks inside real enterprise environments
- This role is about making those AI experiences reliable, useful, and production-ready
- You’ll work with product engineering, modelling and design to turn model capability into reliable, user-facing systems: agent builders, eval frameworks, proactive intelligence, and new interfaces for collaborating with AI
- Sometimes that means shipping a new product surface, sometimes a better eval or feedback loop, sometimes prompt and context experiments, and sometimes redesigning the workflow so the model is being asked to do the right thing
- Build AI-powered product experiences that help users create, configure, evaluate, and improve workflows across North
- Design and ship new interfaces for interacting with models, including workflow builders, proactive assistants, review flows, and other human-AI collaboration patterns
- Build eval, observability, and feedback systems that measure whether AI experiences succeed in real enterprise workflows
- Improve AI reliability through product design, prompting, context construction, tool-use strategies, instrumentation, and feedback loops
- Turn production failures, user feedback, and real-task data into better product behavior, stronger eval suites, regression tests, and signals for modelling
- Work closely with modelling, product, design, customer teams, and domain experts to define what “good” means for specific workflows and ship measurable improvements
- Help decide when a workflow needs a more constrained product experience, a better model interface, a stronger eval, or a deeper modelling investment
- Example problems you might work on include helping users build AI automations from natural language, creating evals for multi-step agent workflows, adding proactive intelligence inside the product, or creating interfaces that make agent behavior easier to inspect, steer, and trust
Our take
Many businesses are now faced with the challenge of adopting advanced AI safely and securely. While AI tools like ChatGPT are making headlines, companies (especially those in regulated industries such as banking, telecoms, or government services) worry about privacy, compliance, and control over their sensitive data. Cohere addresses these concerns by offering AI solutions that can be trained on a company's internal data and, importantly, run on their own infrastructure rather than relying on external cloud providers. And in a world where data breaches and regulatory scrutiny are constant threats, this focus on trust and security is key.
In a competitive landscape dominated by giants like OpenAI, Google, and Elon Musk's xAI, Cohere is setting itself apart by targeting businesses exclusively. Its approach has earned it contracts with some big names, like Royal Bank of Canada, Fujitsu, LG, Oracle, and Dell. By focusing on reliability and enterprise adoption rather than viral consumer appeal, Cohere has carved out a strong niche for itself.
This isn't going unnoticed either, as the company recently raised $500M, boosting its valuation to $6.8B, and brought on board top talent from Meta and Uber to strengthen its leadership team. Alongside this, it's doubled its annual recurring revenue to $100M in 2025 and is aiming to hit $200M by year-end. With its North platform for AI agents and a lean cost structure compared with larger rivals, Cohere is very much ready for more growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
192% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2026
$600m
SERIES E
Sep 2025
$100m
LATE VC
Total funding: $2.1bn
Company benefits
- Six weeks’ paid vacation
- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions
- Coverage for 100% of your insurance premiums across health, dental, vision, and travel
- Additional coverage for accessing mental health providers/services
- Six months of fully paid parental leave, including adoption and surrogacy
- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance
- Globally dispersed company that supports a remote work culture
- A $2,000 annual education benefit for professional development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance
Company HQ
Grange Park, Toronto, ON
Leadership
Aidan Gomez
(Co-Founder & CEO)Aidan received a PhD in Computer Science from the University of Oxford in 2024 and has served as Cohere's CEO since co-founding the company in 2019.
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