Jobs in Canada

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Added 6 months ago
UM
NIGHT SHIFT - Test Engineering Electronics Technician
Ultra Maritime
Dartmouth, Nova Scotia
- Full-time
Ultra Maritime is seeking highly motivated and skilled NIGHT SHIFT - Test Engineering Electronics Technician to join our team. Successful candidates will assist in the designing,…
Added 6 months ago
S
AI Engineer
Softrip
Remote, Canada
- $110,000 to $150,000 CAD / year
- Full-time
- Remote
You build context pipelines. The model isn’t the hard part - assembling the right product data at the right moment is. Getting customer and operational data assembled efficiently, within…
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
Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
Added 6 months ago
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Senior Specialist - Data Sciences
LTM
Ontario · Ontario, Canada
- $81,325 to $125,000 CAD / year
- Full-time
Years of experience in Engineering and Operationalizing Data Pipelines with large and complex
Added 6 months ago
K
InSAR R&D Engineer (Contract)
KorrAI
Remote, Canada
- Contract
- Remote
This role sits between research and engineering. You should be comfortable implementing methods, not just evaluating them.
Added 6 months ago
A
Senior GenAI Data Scientist (m/f/d)
AutoScout24
Toronto, Ontario
- $180,000 to $200,000 CAD / year
- Full-time
Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products, designing clean APIs, robust pipelines, and…
Added 1 month ago
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Distributed Systems Engineer
Cadence Design Systems
Vancouver, BC
- Full-time
Experience with scientific/engineering data visualization
Added 2 months ago
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Senior Threat Hunting Specialist
Fortinet
Burnaby, BC
- Full-time
Practical scripting ability for attack simulation and PoC generation (Python required; PowerShell/Bash/other scripting as applicable). Note: production engineering and model training are…
Added 1 month ago
A
Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)
Agoda
Vancouver, BC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 1 month ago
A
Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)
Agoda
Montreal, QC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 1 month ago
A
Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)
Agoda
Toronto, ON
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 2 months ago
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Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
- Full-time
…performance. Les outils d'automatisation des tests utilisés sont Python, Robot Framework,…
Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Toronto, ON
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 1 month ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
Contributes to AI Adoption and Enterprise Architecture from an AI and Data architecture perspective, while bringing their hands on Engineering skills to align business needs with…
Added 1 month ago
Embedded Developer Intern, Engine Data Reliability ( Winter/ January 2027, 12-16 months)
Internship List
Oakville, ON
As an Embedded Developer Intern your key area of responsibility will be implementing new logic into the GO device firmware, programming primarily in C and Python. You will work in one or…
Added 2 months ago
Postdoctoral Research Fellow, Snow and Ice Hydrology (Canmore, AB)
University of Saskatchewan
Canmore, AB
Experience: The PDF will have knowledge either in hydrology, water resources engineering, physical geography, environmental earth science, computer science, data science, atmospheric…
Added 1 month ago
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AI/Data Application Developer, TD Securities
TD
Toronto, ON
- Full-time
At TD Securities, technology plays a critical role in enabling data, analytics, automation, and AI capabilities across our global Research business. We are looking for a Developer based in…
Added 1 month ago
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Senior Full Stack Developer (CRM), TD Securities
TD
Toronto, ON
- Full-time
At TD Securities, technology plays a critical role in enabling data, analytics, automation, and AI capabilities across our Global Research & Markets businesses. We are looking for a Senior…
Added 1 month ago
M
Senior Full Stack Software Developer
Miovision
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
At Miovision, we are engineering the future of smart transportation, and we need an exceptional Senior Software Engineer who is ready to take the fast lane and push the boundaries of what…
Added 1 month ago
V
Staff Engineer
Vantage
Remote, Canada
- $180,000 to $220,000 CAD / year
- Full-time
- Remote
Experience evaluating and rolling out developer tooling, including AI-assisted development tools, with a clear view of where they earn their keep and where they introduce risk to code…
Added 6 months ago
Q
Architect - Conversational AI
Quantiphi
Canada
- Full-time
…by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable…
Added 6 months ago
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Senior Data Engineer - Gen AI
LTM
Ontario · Ontario, Canada
- $100,000 to $110,000 CAD / year
- Full-time
o Strong foundational knowledge in GenAI Machine Learning ML modeling Data Science Statistics and AI fundamentals including Natural Language Processing NLP Neural Networks and Large…
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI (YC W21)
Canada
- Part-time
As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows by embedding data-driven insights into core processes such as risk assessment, pricing, and…

Klue

Senior Software Engineer, AI

Toronto, ON, 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 Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate workflows for users. You will be leading the design and development of search and retrieval agent systems that enable users to generate compete insights for their business. In this role, you will own projects end-to-end, guiding architecture decisions, experimentation strategy, and production readiness for LLM-powered retrieval and generation workflows. You will shape how we integrate retrieval-augmented generation (RAG), dense retrieval, query understanding, and agentic reasoning loops to deliver fast, accurate, and trusted search experiences at scale. 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. 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 optimize retrieval and ranking systems. You work across hybrid retrieval, re-ranking, query rewriting, and post-retrieval synthesis to ensure our agents surface the right information at the right time. You understand the tradeoffs between BM25, dense retrieval, and hybrid approaches and know when each matters. 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. 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. Hands-on experience with search, retrieval, or ranking systems. You've built or significantly improved retrieval pipelines and understand information retrieval fundamentals (hybrid retrieval, relevance tuning, query understanding). 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 vector databases and search infrastructure. You've worked with tools like FAISS, PGVector, Pinecone, Weaviate, Elasticsearch, or OpenSearch 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, Cursor, 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. Background in conversational search or dialogue systems. Contributions to open-source projects in search, retrieval, or the LLM ecosystem. 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, open-source models ML frameworks: PyTorch, Transformers, spaCy Search/Vector DBs: Elasticsearch, Pinecone, PostgreSQL MLOps tools: Weights & Biases, MLflow, Langfuse Infrastructure: Docker, Kubernetes, GCP 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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