Jobs in Canada

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Added 3 months ago
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Embedded Engineer – AI System Architecture
Huawei Technologies Canada Co., Ltd.
Edmonton, AB
- Contract
Huawei Canada has an immediate 12-month contract opening for an Embedded Engineer.
Added 3 months ago
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Data Engineer
Thales
Ottawa, ON
- Full-time
Experience with scripting technologies such as Python, R
Added 4 months ago
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Senior AI Platform Operations Engineer
EQ Bank
Toronto, Ontario
- Full-time
Experience with cloud platforms, observability, automation, configuration management, and integration patterns, including Azure Automation runbooks (PowerShell/Python), Azure AI, Copilot…
Added 4 months ago
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Senior Machine Learning Engineer
EvenUp
Toronto, Ontario
- $196,000 to $265,000 CAD / year
- Full-time
…SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at…
Added 4 months ago
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Staff Machine Learning Engineer
EvenUp
Toronto, Ontario
- $212,000 to $301,000 CAD / year
- Full-time
…SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at…
Added 4 months ago
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Information Systems Engineer
Opendoor
Toronto, Ontario
- Full-time
Opendoor's mission is to empower everyone with the freedom to move. We are building a digital, end-to-end experience that makes buying and selling a home simple, certain, and fast. Our IT…
Added 4 months ago
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Forward Deployed Engineer
Doppel
Toronto, Ontario
- Full-time
Strong software engineering background with experience building production applications (Python preferred).
Added 4 months ago
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Senior Software Engineer - Applied AI
Feathery
Toronto, Ontario
- $90,000 to $140,000 CAD / year
- Full-time
To keep pace with that ambition, we're looking for a Full Stack Engineer to join the AI team and own these capabilities end-to-end.
Added 4 months ago
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Staff Back End Engineer (Data Platform)
Forma.ai
Remote, Canada
- Full-time
- Remote
As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints…
Added 4 months ago
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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
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Senior Software Engineer, Notebooks
Snowflake
Ontario · Ontario, Canada
- Full-time
…who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.…
Added 3 months ago
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Apps Dev Intmd Programmer Analyst
Citi
Mississauga, ON
- Full-time
…or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming…
Added 3 months ago
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Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Seeking a Application Infrastructure Engineer with 9+ years of experience to lead cloud migrations, develop AI-driven automation, and manage our containerized platforms. This role requires…
Added 3 months ago
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Principal Systems Engineer- Enterprise AI (Design & Implementation)
Flatgigs
Remote, Canada
- Full-time
- Remote
Strong hands-on software development experience with Python, Go, Rust (language agnostic)
Added 3 months ago
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Software Engineer (Python) - PricingCenter
Guidewire Software
Toronto, ON · Mississauga, ON
- Full-time
In this role, you will be a product‑focused Python engineer who owns features end‑to‑end - from exploring requirements through to production reliability. You’ll help shape new pricing and…
Added 3 months ago
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Senior Security Engineer - Pentester
Menlo Security
Remote, Canada
- Full-time
- Remote
We're looking for a forward-thinking Security Engineer to join our security team, focused on offensive and defensive testing, penetration testing of product features, and the cloud…
Added 3 months ago
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FPGA Compiler (Placer) Engineer
Altera
Toronto, ON
- Full-time
…the focus, speed, and agility to innovate without compromise. With more than four decades of industry‑leading FPGA expertise, our singular mission is to deliver the programmable…
Added 3 months ago
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SMTS Logic Design
Rambus
Montreal, QC
- Other
…exceptional Senior Member of Technical Staff (SMTS) – Logic Design Engineer to join our PCIe Switch Architecture and Design team in Montreal, Canada. In this role, you will be working with…
Added 4 months ago
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Senior Data Engineer
iQmetrix
Regina, Saskatchewan
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
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AI Platform Engineer – DevOps
Synechron
Halifax, Nova Scotia
- $85,000 to $100,000 CAD / year
- Full-time
An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive.
Added 4 months ago
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Senior QA Data Quality Engineer
Cognizant
Halifax, Nova Scotia
- Full-time
As a Senior QA Data Quality Engineer, you will lead quality assurance initiatives and collaborate with cross-functional technology teams to ensure the delivery of scalable, high-performance…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, Manitoba
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, British Columbia
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Toronto, Ontario
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
AS
Associate Software Engineer / Software Engineer
Applied Systems Canada
Toronto, Ontario
- Full-time
As an Associate Software Engineer, you will contribute to projects to modernize and optimize our codebase. You’ll work closely with experienced engineers to identify, address, and reduce…

Klue

Software Engineer II, AI

Toronto, ON, Canada

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

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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

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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

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