Enterprise AI · Toronto / Remote
Who are we?
Our mission is to scale intelligence to serve humanity. We’re 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 what’s 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.
Join us on our mission and shape the future!
The opportunity
Search Applications builds the platform that gets customer data into Cohere's enterprise AI assistant and makes it usable by agents. We own the ingestion and search systems that keep data fresh, reliable, and searchable — a big part of what makes the product actually useful in real enterprise workflows.
You'll build the core systems that power how AI Assistant (North) accesses and uses customer data, from data pipelines to indexing and retrieval services. The role spans backend engineering, infrastructure, and cross-team product work to make sure the assistant has the right data when it matters.
What you'll do
- Build the data ingestion and search platform powering Cohere's AI assistant for enterprises
- Build reliable pipelines that sync, parse, transform, and index customer data for search and AI use
- Write production Go and Python to build backend systems and product features
- Work across teams to make connecting to and using customer data feel seamless in the product
- Partner with researchers and engineers across the stack to improve how data is parsed, retrieved, and used
- Take part in roadmap planning and help figure out the best way to get where we want to go
- Make technical decisions and see them through to production.
You may be a good fit if
- You have strong experience writing production code in Go and/or Python
- You're comfortable working with Kubernetes, Docker, and infrastructure-heavy systems
- You enjoy debugging hard problems and know how to profile services, collect traces, configure metrics and use observability tools.
- You have experience with Postgres, Redis, and OpenSearch, and you understand the kinds of issues these systems can run into under load
- You understand how modern systems are built to scale and stay reliable
- You can work autonomously and know when to ask for help
- You're comfortable working across the stack when needed (e.g. typescript for frontend, terraform configs, etc)
- You care about security, correctness, and reliability, especially when dealing with customer data
- You do well in fast-moving environments where priorities can change
- You enjoy working in both startup and enterprise environments.
If some of the above doesn’t 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.
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!)