Jobs in Canada

Email me new jobs Save this search

Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
Familiarity with secure software development practices and the software development lifecycle.
Added 3 months ago
IE
Principal Machine Learning Architect
Index Exchange
Toronto, Ontario
- Full-time
Ensure continuous high-quality input for ML model development
Added 1 month ago
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
…computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a…
Added 3 months ago
B
Forward Deployed Engineer
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing…
Added 3 months ago
B
Product Engineer - Dedicated Inference
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
B
Frontend Engineer
Baseten
Montreal, Quebec
- $190,000 to $300,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
B
Software Engineer - Enterprise Platform
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
Added 3 months ago
O
Clinical Data Collection Manager
Oncoustics
Toronto, Ontario
- Full-time
…submissions ○Gather and consolidate information from R&D and software development teams ○Work with consultants and apply…
Added 3 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
Added 3 months ago
O
Lead Software Developer
Oncoustics
Toronto, Ontario
- Full-time
The lead software developer will help shape product software architecture and development processes for Oncoustics’ clinical solutions. In typical startup fashion this is a multi-faceted…
Added 3 months ago
O
Full Stack Developer
Oncoustics
Toronto, Ontario
- Full-time
The Fullstack Developer will help deliver backend and mobile software for Oncoustics’ clinical solutions. You should be excited to design and build clinical solutions that delight…
Added 3 months ago
O
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
- Full-time
Be the bridge between R&D and software development teams; work very closely with research, development, product, and leadership
Added 3 months ago
EA
Principal Product Manager, AI Platform
Electronic Arts (EA)
Vancouver, British Columbia
- Full-time
Bachelor’s Degree AND 8+ years experience in product management/program management/ software development (of which at least 6+ years are required in product management).
Added 3 months ago
EN
Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada
Extreme Networks
Toronto, Ontario
- Full-time
…are seeking a Director of AI Engineering to lead the design, development, and delivery of our next-generation AI-native…
Added 2 months ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
10–15+ years in software engineering with 5+ years leading AI/ML engineering teams.
Added 2 months ago
HT
Embedded Engineer – AI System Architecture
Huawei Technologies Canada Co., Ltd.
Edmonton, AB
- Contract
Research and development of Agentic AI Software for system optimization on edge devices, with measurable wins in latency, power, and quality.
Added 2 months ago
MH
Vice President, Data Analytics & AI
Mattamy Homes
Canada
- Full-time
The VP will lead the development of a modern data and analytics ecosystem, including enterprise data platforms, advanced analytics, AI/ML solutions, and governance frameworks. Partnering…
Added 2 months ago
T
Data Engineer
Thales
Ottawa, ON
- Full-time
…pipelines, deploying machine learning models, implementing software that helps with decision making – while using modern development techniques and…
Added 3 months ago
E
Senior Machine Learning Engineer
EvenUp
Toronto, Ontario
- $196,000 to $265,000 USD / year
- Full-time
…challenges requires expertise in data quality, robust model development, and ongoing…
Added 3 months ago
E
Staff Machine Learning Engineer
EvenUp
Toronto, Ontario
- $212,000 to $301,000 USD / year
- Full-time
Added 3 months ago
K
Software Engineer II, AI
Klue
Toronto, Ontario
- $115,000 to $149,000 CAD / year
- Full-time
We're looking for a Software Engineer, AI 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…
Added 4 months ago
KS
Full Stack Developer
Kumaran Systems
Toronto, ON
- Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Regina, Saskatchewan
- Full-time
iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of…
Added 3 months ago
S
AI Platform Engineer – DevOps
Synechron
Halifax, Nova Scotia
- $85,000 to $100,000 CAD / year
- Full-time
…Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development…

Klue

Software Engineer II, AI

Toronto, ON, Canada

$115,000 to $149,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $115,000 to $149,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Jul 7, 2026

Original job description

At Klue, We’re Building the Future of Competitive Intelligence👋 Klue Engineering is hiring! We're looking for a Software Engineer, AI 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'll be joining us at an exciting time as we reinvent our insight generation systems, making this an excellent opportunity for someone with strong Backend and ML fundamentals who wants to dive deep into practical LLM applications. As a member of our team, you'll be leading the design and implementation of search and retrieval agent systems that enable users to discover high-quality, relevant information with minimal effort. You will work at the intersection of LLM-powered agent workflows, retrieval pipelines, and evaluation frameworks, ensuring that our systems remain scalable, efficient, and aligned with user intent. What You'll Do Design and implement retrieval-augmented generation (RAG) systems with agentic workflows to refine query understanding, document retrieval, and response synthesis. Build and optimize retrieval pipelines using BM25, dense retrieval, hybrid retrieval, and re-ranking approaches. Develop evaluation pipelines for retrieval and generation, including offline metrics (recall, MRR, nDCG) and human-in-the-loop evaluations. Experiment with query rewriting, expansion, and classification to improve retrieval relevance. Collaborate closely with Product to bring ML-powered search agents into production. Profile, debug, and optimize the latency, accuracy, and scalability of retrieval and generation components. Contribute to the design of data pipelines for training retrieval and ranking models, including dataset curation, augmentation, and labeling workflows. Stay up-to-date with advancements in LLMs, retrieval techniques, and agent architectures, evaluating opportunities to integrate them into our systems. What You Bring Software engineering experience Experience with information retrieval systems, search relevance, and ranking models Expertise in Python, with experience in frameworks such as PyTorch, TensorFlow, or JAX. Familiarity with LLMs, prompt engineering, and retrieval-augmented generation pipelines. Understanding of evaluation methods for search systems, including offline metrics and user-facing evaluation. Experience working with vector database infrastructure (FAISS, Milvus, Weaviate, Pinecone, PGVector) and traditional search engines (Elasticsearch, OpenSearch) Understanding of data pipelines, preprocessing, and large-scale data handling. Ability to work independently and collaboratively in a fast-paced environment, balancing research and production needs. Develop and implement CI/CD pipelines. Automate the deployment and monitoring of ML models. Knowledge of query understanding, document summarization and other content enrichment strategies Expertise in automated LLM evaluation, including LLM-as-judge methodologies Skilled at prompt engineering - including zero-shot, few-shot, and chain-of-thought. Experience with cloud infrastructure (AWS, GCP, Azure) for scalable ML workflows. Nice to Have Experience with agentic system design for LLM workflows. Background in conversational search. Contributions to open-source projects in the retrieval, NLP, or LLM ecosystems. 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 We encourage candidates to apply to the engineering role and level that best align with their experience. To support a fair and consistent review process, candidates are limited to one engineering application every 60 days. Applying to multiple roles will not improve consideration, as our team evaluates candidates holistically across our engineering career framework throughout the interview process. ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ 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

Apply About employer

More about this job

Responsibilities

Design and implement retrieval-augmented generation systems with agentic workflows. Collaborate closely with Product to bring ML-powered search agents into production.

Requirements

Candidates should have software engineering experience and expertise in information retrieval systems. Familiarity with LLMs and experience with cloud infrastructure are also important.

Skills

Software Engineering
Information Retrieval
Search Relevance
Ranking Models
Python
PyTorch
TensorFlow
JAX
LLMs
Prompt Engineering
Retrieval-Augmented Generation
Evaluation Methods
Vector Database Infrastructure
Cloud Infrastructure
CI/CD Pipelines
Document Summarization

Benefits

Extended Health & Dental Coverage
Employee Stock Option Plan
Vacation Policy

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
AI
LLM
Agent Workflows
Retrieval Pipelines
BM25
Dense Retrieval
Hybrid Retrieval
Re-Ranking
Evaluation Pipelines
Offline Metrics
Human-in-the-Loop Evaluations
Query Rewriting
Cloud Infrastructure
AWS
GCP
Azure
Docker
Kubernetes
Python
Git
CI/CD
OpenAI
Anthropic
Elasticsearch
Pinecone
PostgreSQL
Weights & Biases
MLflow
Langfuse

Report this job