Jobs in Canada

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Added 1 month ago
RB
Sr. Audit Manager - Model Risk CoE
Royal Bank of Canada
Toronto, ON
- Full-time
Lead and execute audits covering model risk management, quantitative models, AI, and model governance across the US. Evaluate the effectiveness of governance, risk management, and internal…
Added 1 month ago
R
Sr. Audit Manager - Model Risk CoE
RBC
Toronto, ON
- Full-time
Lead and execute audits covering model risk management, quantitative models, AI, and model governance across the US. Evaluate the effectiveness of governance, risk management, and internal…
Added 6 months ago
PE
Senior Manager, Energy Intelligence & Data Systems
PowerON Energy Solutions
Toronto, Ontario
- Full-time
This role will lead the energy management analytics function within PowerON, developing and delivering data-driven insights that unlock the full value of PowerON's fleet electrification…
Added 6 months ago
B
Software and Hardware Senior Engineering Specialist (SWEL)- Pool Posting
Bombardier
Dorval, Quebec
- Full-time
Lead the resolution of safety, compliance or technical deficiencies with the suppliers and Bombardier stakeholders
Added 6 months ago
E
Systems Designer
Epiroc
Pitt Meadows, British Columbia
- Full-time
…support each other’s abilities to offer solutions. Together, we lead the way to make mining and construction more…
Added 6 months ago
D
QA Engineer
disguise
Quebec, Quebec
- $70,000 to $77,000 CAD / year
- Full-time
…coding and quality assurance, with a deep understanding of Python, to enhance our QA processes through automation and…
Added 6 months ago
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Senior Platform Engineer
Scotiabank
Toronto, Ontario
- Full-time
Lead the development and operation of Kubernetes‑based runtime environments for batch and real‑time solutions.
Added 6 months ago
P&
Specialiste des solutions de donnees et des processus, Gestion des Fournisseurs de Reparations / Data and Process Solutions Specialist, Vendor Management
Pratt & Whitney
Longueuil, Quebec
- Full-time
…des opérations, à l’aide de divers outils (SAP, BW, Power BI, Python, SAS,…
Added 3 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
Lead cross-functional teams of machine learning scientists, machine learning engineers, data scientists and software engineers to deliver production-grade AI solutions.
Added 2 months ago
GM
Staff Software Developer - Diagnostics Infrastructure
General Motors
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and motivated Staff Software Developer to join our Diagnostics Infrastructure Software team in the Autonomous Vehicle Integrity Platform department. In this…
Added 2 months ago
DI
Sr Analyst, Business Insights
Definity Insurance Company
Toronto, ON
- Full-time
…ad‑hoc analysis, business case inputs, and insights tied to lead optimization, sales performance, and digital behaviour trends to inform decision‑making across…
Added 3 months ago
WM
Business Scientist, Energy Intelligence
Wyse Meter Solutions Inc
Vaughan, Ontario
- $75,000 to $120,000 CAD / year
- Full-time
Co-lead the advancement of driving revenue growth on the client side and lifting effectiveness and quality of work inside Wyse
Added 1 month ago
J
Senior Reliability Engineer - Embedded Products
Jobgether
Canada
- $162,900 to $244,300 CAD / year
- Full-time
…across modern transmission and distribution networks. You will lead reliability initiatives throughout the product lifecycle, from early design and validation through deployment and…
Added 1 month ago
EC
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse Chrome River
Toronto, ON
- Full-time
Drive and lead test automation projects and architecture improvements and refactoring to improve test reliability, maintainability and performance
Added 1 month ago
OS
Senior Associate, Analytics Solutions - Technology Services Group
Optimus SBR
Toronto, ON
- Full-time
…Services Group is an exciting, transformative opportunity to lead meaningful projects across diverse industries, shaping the future of technology and digital transformation. If you’re…
Added 1 month ago
Actuarial Analyst (Pricing)
Munich Re
Toronto, ON
…excellence in the market. Our constantly evolving offerings lead the market in cyber, equipment breakdown, renewable energy, technology services, engineering based risk management and…
Added 1 month ago
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Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
…will independently build and ship agent-based applications and developer tooling, and partner with data science counterparts and engineering partners to take proofs of concept from…
Added 1 month ago
PG
Senior RPA Engineer
Peoples Group
Vancouver, BC · Toronto, ON · AB
- Full-time
You are a senior software engineer who happens to specialize in automation, not a developer who just builds bots. You thrive in environments that require both technical mastery and…
Added 6 months ago
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Senior DevOps Engineer
Localcoin
Toronto, Ontario · Ontario
- Full-time
Lead advanced Terraform implementations across multi-account environments
Added 6 months ago
B
Principal Software Engineer - AI
Boomi
Vancouver, British Columbia
- Full-time
Lead the design and implementation of complex, distributed systems using Python and Java, establishing architectural patterns and best practices.
Added 6 months ago
K
Senior Software Engineer, AI
Klue
Toronto, Ontario
- $145,000 to $183,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 6 months ago
K
Senior Software Engineer, AI (Agents)
Klue
Vancouver, British Columbia
- $145,000 to $183,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 6 months ago
JC
Machine Learning Engineer - IV (Biometrics)
Jumio Corporation
Montreal, Quebec
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 6 months ago
A
Senior GenAI Data Scientist (m/f/d)
AutoScout24
Toronto, Ontario
- $180,000 to $200,000 CAD / year
- Full-time
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating product needs into scalable AI solutions and…
Added 3 months ago
TG
Senior Full Stack Developer (18-month contract)
TMX Group
Montreal, Quebec
- Full-time
Experience: 5+ years of experience as a full-stack web developer (front/back-end) utilizing Python, Vue/JavaScript, C++ object-oriented programming, or equivalent technologies.

Klue

Senior Software Engineer, AI (Agents)

Vancouver, BC, Canada

$145,000 to $183,000 CAD / year · Full-time

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Job details

Pay: $145,000 to $183,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Apr 22, 2026

Original job description

At Klue, We’re Building the Future of Competitive Intelligence👋 Klue Engineering is hiring! We're looking for a Senior Software Engineer to join our team in Vancouver, someone excited to build and optimize state-of-the-art LLM-powered agents at scale. You'll bring a builder's mindset, scientific rigor, and relentless customer focus. You'll have an outsized impact on the product while staying close to the frontier of AI. You will shape how we build and operate AI agents at scale, from multi-agent orchestration and sub-agent design to the eval frameworks that keep outputs trusted and measurable. This means optimizing across the full stack: inference costs at scale, retrieval and query performance, and the feedback loops that make agents genuinely improve over time. You won't just execute on the roadmap, you'll help shape it, bringing a technical point of view on where the product should go and working closely with product leadership to get there. In this role, you will own projects end-to-end, guiding architecture decisions, experimentation strategy, and production readiness for our LLM-powered agents. What You'll Do Build and ship backend systems that power agentic workflows. You design retrieval pipelines, orchestration layers, and multi-step agent architectures that turn millions of competitive data points (news, press releases, webpage changes, Slack posts, emails, reviews, CRM data) into actionable intelligence for our customers. Improve LLM-powered workflows end to end. From prompt design and retrieval strategy to caching and latency optimization, you'll make our agent responses faster, more accurate, and more reliable in production. Own evaluation of agentic systems at scale. You develop and operate evaluation frameworks (automated, offline, and human-in-the-loop) that measure relevance, quality, latency, and end-to-end task success across our agent pipelines. You'll define what "good" looks like and build the infrastructure to measure it continuously. Design and build human-in-the-loop systems. Working closely with product and design, you propose and prototype feedback mechanisms, review workflows, and correction loops that keep AI agents accurate and trusted over time. You understand when and how to bring humans into the loop, whether for validation, edge case handling, or continuous improvement, and obsess over making those experiences frictionless for our users. Ship with the customer in mind. You connect technical decisions to customer outcomes. You're energized by understanding how customers use the product, and you use that context to prioritize what to build next. You ship iteratively, measure impact, and course-correct quickly. Collaborate across product, infrastructure, and data teams. Align technical direction with product goals, contribute to architecture decisions, and help the team move faster by establishing patterns and best practices for production-grade agentic systems. Stay on the frontier. Evaluate and integrate advances in LLMs, retrieval architectures, and agentic reasoning. You have strong opinions (loosely held) about where this space is heading and bring that perspective to your work. What You Bring Experience building and operating backend systems in production, with meaningful experience in at least one of: search/retrieval, data pipelines, distributed systems, or API-heavy service architectures. Experience building or evaluating agentic / LLM-powered systems. You've worked with retrieval-augmented generation, multi-step agent workflows, or similar architectures and have thought critically about how to evaluate their output quality at scale. Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production infrastructure. You care about reliability, observability, and CI/CD. Familiarity with search and retrieval systems. You've built or significantly improved retrieval pipelines and understand information retrieval fundamentals (hybrid retrieval, relevance tuning, query understanding).You've worked with tools likePGVector, Pinecone or Elasticsearch and understand their operational tradeoffs. Experience with cloud infrastructure (AWS, GCP, or Azure) and building systems that handle scale, large data volumes, low-latency requirements, and high availability. You use AI coding tools to accelerate your own work. You've integrated tools like Copilot, Curssor, Claude Code, or similar into your development workflow and can speak to how they've changed the way you build software. Customer-oriented mindset. You've shipped features where you understood the end-user problem, not just the technical specification. You're motivated by customer impact, not just technical elegance. Ability to lead projects and provide technical direction. You can own a problem end to end, make sound architectural decisions, and help others on the team level up. Nice to have Experience designing multi-agent systems or complex orchestration workflows. Contributions to AI/ML open-source projects. ML fundamentals such as precision, recall, cross-validation, bias-variance tradeoff, overfitting and regularization. Interest in sharing learnings externally (blog posts, talks, open-source contributions). What Success Looks Like We're looking for builders who: Take ownership and run with ambiguous problems Jump into new areas and rapidly learn what's needed to deliver solutions Bring scientific rigor while maintaining a pragmatic delivery focus See unclear requirements as an opportunity to shape the solution Our Tech Stack LLM platforms: OpenAI, Anthropic, Gemini Agent frameworks: PydanticAI LLMOps tools: Logfire Search/Vector DBs: Elasticsearch, Pinecone, PostgreSQL Infrastructure: Docker, Kubernetes, GCP, Temporal Development: Python, Git, CI/CD ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ Not ticking every box? That’s okay. We take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. At Klue, we're committed to building a high-performing team where people feel a strong sense of belonging, can be their authentic selves, and are able to reach their full potential. If there’s anything we can do to make our hiring process more accessible or to better support you, please let us know, we’re happy to accommodate. Why Klue Might Be the Perfect Fit For You At Klue, you’ll push the boundaries of what’s possible. For yourself, your team, and our customers. The environment here feels more startup than corporate. You’ll roll up your sleeves, build, iterate, and level up. This is a place where your ideas matter, you can shape what comes next, and leave your mark. If you’re looking to join a category-defining company… where you own big outcomes, influence real customers, and work with smart, gritty people… you’ll thrive here. Unlock Your Potential. Take Risks. Take Action. Innovate How We Work at Klue We love the balance of connection and flexibility. We work Office-First, with a hybrid touch, and work together in our vibrant offices on Mondays, Wednesdays & Thursdays to collaborate, brainstorm, and build together. Our main hiring hubs are in: 🇨🇦 Vancouver (HQ) 🇨🇦 Toronto 🇬🇧 London Our Commitment to You High Performance Culture. We reward high performance and growth through career development, coaching, and annual performance reviews. Comprehensive benefits: Extended health & dental coverage that starts on Day 1. Fun perks like discounts at Goodlife and Perkopolis are gravy. Ownership: All full-time employees have the opportunity to participate in our Employee Stock Option Plan. Our Vacation Policy is Take The Time You Need. We just ask that you give notice and don’t leave your team hanging. Top-tier tools. All employees will receive a Mac (or PC, if that’s your jam) and access to A+ tooling. AI First. All employees are encouraged to lean into AI to work smarter and faster. Built something cool lately? Show us at our Friday Show, Don’t Tell Meetings. Growth / Leadership. Direct access to our leadership team, including our CEO, and opportunities to connect with incredible people across the company. Social connection. There’s no shortage of ways to stay connected and have fun. We get together once a year in Vancouver for a company- wide kickoff. Throughout the year our Hubs hold regular social events. Dog-friendly spaces. Bring your four-legged friend along in Vancouver or Toronto, as our offices are pup-approved. About Klue We’re on a mission to help organizations stop losing winnable deals. Klue’s AI agents generate market, competitor, and buyer insights in a unified platform. We ensure it’s trustworthy, automated, and activated across every department, so they have the answers they need to own their market. ✨ Here’s what makes us tick: Klue is AI-first at its core. It’s wired deep into our internal processes and tooling, powering our small but mighty team. It drives Klue’s autonomous agents that handle the heavy lifting for customers: collecting intel, generating insights, and ensuring content is updated and available across departments. Our agents help them scale their impact, stay ahead of the market, and reclaim the time that used to be consumed by manual, repetitive busywork. Competitor Insights. Klue helps revenue teams win more competitive deals by turning market, competitor, and buyer signals into insights teams can actually use. Our AI analyzes calls, CRM data, and real buyer feedback to give product marketers and sellers a clear picture of what’s happening in their market and why deals are won or lost. We’re a curious, collaborative team building a platform that helps companies compete with confidence, and we’re looking for people who want to do meaningful work alongside others who care about craft and impact. A culture of curiosity, ownership and winning together. We’re a fast-growing, globally-distributed team based in Vancouver (with hubs like Toronto), scaling quicker than ever. We value people who own their domain, act boldly, stay curious and thrive in a collaborative, high-performance environment. Explore More Klue Blog Ignition Acquisition (2025) Goldpan.aiAcquisition (2025) Win-Loss Acquisition (2023) Series A (2020) Series B (2021) Culture, culture,culture! Customer Stories Glassdoor About Us Instagram LinkedIn Wellfound (AngelList) Product Demo Arena By submitting your application, you agree that Klue may collect your personal data for recruiting, global organization planning, and related purposes. We may use automated or AI-assisted tools to support our recruitment process. All hiring decisions are made by our hiring team

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