Jobs in Canada

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Added 14 hours ago
L
Senior Product Security Engineer
LanceDB
Canada
- $180,000 to $250,000 USD / year
- Full-time
…audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and Netflix build the…
Added 14 hours ago
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Software Engineer, Security Agents
Cohere
Canada
- $215,000 to $325,000 USD / year
- Full-time
- Hybrid
…security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every…
Added 14 hours ago
C
Member of Technical Staff, North Modelling (Evals)
Cohere
Toronto, ON
- $295,000 to $535,000 CAD / year
- Full-time
- Hybrid
Added 14 hours ago
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Staff Software Engineer, Agentic Analytics
Cohere
Ottawa, ON · Toronto, ON · Montréal, QC
- $270,000 to $325,000 USD / year
- Full-time
- Hybrid
…system proves itself. You may have held the title software engineer, AI engineer, or data scientist; what matters is that you've built a system like this and run it in…
Added 14 hours ago
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AMI Research Engineer
AMI
Montréal, QC
- Full-time
- On-site
Added 14 hours ago
P
Principal Software Engineer
Passage
Toronto, ON
- Full-time
- On-site
Candidates must be based in Toronto or open to relocating and working five days per week in our Toronto office
Added 14 hours ago
P
Senior Software Engineer
Passage
Toronto, ON
- Full-time
- On-site
Candidates must be based in Toronto or open to relocating and working five days per week in our Toronto office
Added 15 hours ago
PD
Application Developer, Analytics
Pollard Digital Solutions
Winnipeg, MB
- Full-time
Data Engineer is responsible for designing, developing, testing, deploying, and supporting data integration, data engineering, transformation, reporting, and analytics solutions that enable…
Added 15 hours ago
A
Staff Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
…gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our users,…
Added 15 hours ago
L
Staff AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability challenges. You…
Added 16 hours ago
GC
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
- $110,000 to $150,000 CAD / year
- Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 16 hours ago
KC
FPGA Digital Design Engineer (6+ month Contract)
Kepler Communications Inc.
Canada
- Contract
We’re on the hunt for a top-tier FPGA Digital Design Engineer for a 6+ month contract to develop the next generation of our satellites.
Added 16 hours ago
KI
Senior FPGA Engineer (Hybrid)
Kardium Inc.
Burnaby, BC
- $100,000 to $150,000 CAD / year
We are looking for a Senior FPGA Engineer to help support the next generation of high-quality medical devices. In this role, you will gain hands-on experience in the development and…
Added 16 hours ago
S
Product Engineer, Agentic Payments
Snaplii
Toronto, ON · Etobicoke, ON
- $200,000 to $250,000 CAD / year
- Internship
…is not a filter. If you have built the right things in Go, Python, TypeScript or anything else, we want to talk to…
Added 16 hours ago
A
Ingénieur Plateforme/Platform Engineer
Actalent
Montreal, QC
- $75 to $85 CAD / hour
- Contract
We are seeking a Platform Engineer who can work closely with developers to build and maintain the Platform-as-Code framework for complex solutions. This role involves managing and…
Added 17 hours ago
F
AI + Policy Research & Compliance Fellow
FairwAI
Remote, Canada
- Remote
…Prior to his work at Harvard, Shaurjya served as a research engineer at India's Defence Research and Development Organisation (DRDO) and contributed to AI policy and infrastructure projects…
Added 18 hours ago
Q
DFT Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm DFT Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 19 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- $85,800 to $169,300 CAD / year
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 20 hours ago
AI
Production / Application Support Engineer (Level 3/4)
Apptoza Inc.
Montreal, QC
- Full-time
We are seeking an experienced Production/Application Support Engineer with expertise in Unix/Linux, Python, Perl, IBM DB2, NAS Storage, and Archiving Applications. The ideal candidate will…
Added 20 hours ago
AI
Production Support Engineer (L3/L4)
Apptoza Inc.
Montreal, QC
- Full-time
We are seeking an experienced Production/Application Support Engineer with expertise in Unix/Linux, Python, Perl, IBM DB2, NAS Storage, and Archiving Applications. The ideal candidate will…
Added 20 hours ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Added 20 hours ago
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DevOps Engineer - AI Gateway
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Join Nutanix as a DevOps Engineer in Vancouver and build the infrastructure that powers development, testing, and performance engineering for the Nutanix AI (NAI) platform. You’ll build and…
Added 20 hours ago
H
Sr. Automation Engineer
HCLTech
Vancouver, BC
- Full-time
We are looking for a highly skilled Sr. Test Engineer to join our team in Vancouver, BC.
Added 20 hours ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
Added 21 hours ago
O
Data Engineer
Obsidi®
Toronto, ON
- Full-time
Must have 4+ years of experience in Cloud: Azure · Must have 4+ years of experience in Lakehouse: Databricks

Cohere

Staff Software Engineer, Agentic Analytics

Ottawa, ON, Canada
Toronto, ON, Canada
Montréal, QC, Canada

Hybrid

$270,000 to $325,000 USD / year · Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Pay: $270,000 to $325,000 USD / year
Job type: Full-time
Workplace: Hybrid
Posting language: English
Posted: Nov 9, 2026

Original job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. Join us!

Why this role?

We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the founding lead of Agentic Analytics, a new team in our Analytics and Data Insights organization, you'll own how Cohere gets answers from its own data: an agentic analytics system that answers business questions over governed data, shows the source, query, and freshness behind every answer, and asks for clarification or declines when the evidence is insufficient.

Agentic analytics is far from a solved problem, and correctness is the hard part. A query that runs can still answer the wrong question. Agents go wrong when a business term maps to more than one table, when data goes stale, and when the right context never reaches the model. The worst failures are silent and plausible: a join that double-counts, a wrong denominator, missing data read as zero. Getting this right takes governed definitions, context an agent can use, and an evaluation bar that decides what ships.

You'll build on work already in motion: an internal analytics agent in pilot on our BigQuery warehouse, which is fed by tested ingestion pipelines and modeled in dbt. In your first year, you'll take it to production for teams across Cohere, one domain at a time, and make it replicable: each new domain stands up with configuration, a fresh evaluation set, and very little new code.

This is a hands-on staff engineering role reporting to our Senior Director of Data Analytics. You'll write production code and evaluation sets yourself while managing a small founding team that grows as the system proves itself. You may have held the title software engineer, AI engineer, or data scientist; what matters is that you've built a system like this and run it in production.

Responsibilities

As the lead of Agentic Analytics, you will:

Own the system end to end. Set the architecture for how a business question becomes a governed query and a verifiable answer: interpreting the question, retrieving the right context, applying approved definitions and joins, enforcing the asking user's permissions, and attaching the evidence (source, query, freshness) to every answer.
Build and run it in production. Design the core services and write much of the first version yourself: agent-facing data tools (MCP or equivalent), context retrieval, agent skills for analytics, and the APIs that serve answers. Hold them to production standards for reliability, latency, cost, security, and observability. Put it where people already work: Slack, North, IDEs, and other agents.
Hold every release to the evaluation bar. Build and run the evaluation harness, and define what correct means in each domain: ground-truth question sets, including held-out cases and questions the agent should clarify or decline; result-level scoring, correct-or-decline rates, coverage, and error severity; and regression tests on every change to context, skills, or models. Nothing ships below the bar, and the call on when a domain is ready for production is yours.
Engineer the context layer. Turn metric definitions, approved joins, documentation generated from the code that builds each table, a business glossary, and worked examples into context the agent can use. Every correction becomes a reviewed definition and a regression test.
Roll it out across Cohere. Bring domains such as marketing, revenue, finance, and product onto the system one at a time, each with named owners, certified definitions, and its own evaluation set. Measure adoption, accuracy, turnaround, and correction effort against how those teams work today.
Make it replicable. Package the tools, skills, context templates, and evaluations, and document them well enough that other teams at Cohere can run the system without you.
Hire and lead the team. Bring on the team's first engineers, set the technical bar, review the work, and develop the people doing it.
Partner across Cohere. Work with our data platform team on the warehouse and semantic models, our model evaluation team on evaluation methodology, our security team on access, and each domain's owners on definitions and rollout.

Qualifications

You may be a good fit, if you have:

10+ years building and operating production analytics or software systems, including technical leadership of a team or of systems that span teams
Experience shipping LLM agents to production: tool use, MCP or similar, retrieval and context engineering, guardrails, and observability, with firm opinions on where they fail
Hands-on experience building natural-language or agentic analytics (text-to-SQL, analytics agents, question answering over a semantic layer) that real users relied on, and evidence that it was right
Depth in evaluating LLM systems: golden sets, result-level comparison, abstention metrics, error taxonomies, and regression testing in CI, plus the judgment to tell a good demo from a system you'd put in front of a CFO
Strong Python and SQL, and experience designing and running production services and APIs on a major cloud (Google Cloud is a plus)
Fluency with data: cloud warehouses (BigQuery, Snowflake, or similar), dbt, and semantic layers (MetricFlow, LookML, Cube, or similar). You think in grain, metric definitions, and approved joins, and you can tell when a number is wrong before it reaches a decision
Experience building identity-aware access for agents, where the agent acts with the asking user's permissions and every query leaves an audit trail
Experience hiring and developing engineers, with a leadership style grounded in empathy as much as in data
Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weeds
Comfort operating in ambiguity, leading through partners you don't manage, and writing design docs and eval reports that settle decisions across teams

If some of the above doesn't line up perfectly with your experience, we still encourage you to apply!

Full-Time Employees at Cohere enjoy these Perks:

A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a 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, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.

6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

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. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

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.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Staff Software Engineer at Cohere will design and build an analytics system that answers business questions from company data, and make sure each answer is correct and backed by its source. They will also set up tests to decide when the system is ready to ship, and help other teams adopt it.

Requirements

Cohere asks for 10+ years building production analytics or software systems, and experience shipping LLM agents and natural-language analytics that real users relied on. Candidates also need strong Python and SQL, warehouse and dbt experience, and experience evaluating LLM systems and hiring engineers.

Skills

Python
SQL
BigQuery
dbt
MetricFlow
LookML
Cube
MCP
LLM agents
Text-to-SQL
Retrieval-augmented generation
Context engineering
Evaluation harness
Regression testing
Golden datasets
Observability
Google Cloud
Snowflake
Identity-aware access
Team leadership
Hiring
Design documents
Data modeling
Metric definitions

Benefits

Health and dental benefits
Lunch stipend
RRSP matching and pension
Parental leave top-up
Annual enrichment benefits
Education and learning stipend
Vacation
Home office stipend
Travel budget for remote staff

Keywords

agentic analytics
text-to-SQL
LLM agents
MCP
BigQuery
dbt
semantic layer
MetricFlow
LookML
Cube
Python
SQL
evaluation harness
retrieval
context engineering
Google Cloud
Staff Software Engineer
analytics engineering
data analytics
AI engineer

Seniority

Senior

Perks

Generous paid time off
Parental leave
Retirement plan
Wellness program
Meals
Remote work allowance

Tools

BigQuery
dbt
Python
SQL
MCP
Slack

Languages

English

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Work requirements

Jobs in Canada