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Added 2 months ago
Lead, Robotics Software Engineer
Locus Robotics
North Vancouver, BC
As a Lead, Robotics Software Engineer, you'll have the opportunity to lead the development and deployment of NeuraGrasp™, our advanced robotic grasping technology that is shaping the future…
Added 2 months ago
Procurement Engineer
Aecon
Kincardine, ON
The Procurement Engineer is responsible for selection of engineered equipment and components for Nuclear Proposals and Contracts. The position requires preparation of purchasing…
Added 1 month ago
TT
Building Automation Technician
trane technologies
Montreal, QC
- Full-time
…combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
Software Development Engineer, Demand Tech
Amazon
Toronto, ON
As part of the Reach Planning Engineering team, you'll start your day collaborating with data scientists and product managers to define requirements for new API features that improve media…
Added 2 months ago
R
Principal Advanced Optical Packaging Engineer
Ranovus
Ottawa, ON
- Full-time
Ranovus is seeking a Principal Advanced Optical Packaging Engineer to develop and industrialize packaging technologies for next-generation optical engines used in AI and data-center…
Added 1 month ago
MT
Technical Staff Engineer–Applications
Microchip Technology Inc.
Toronto, ON · Montreal, QC · Burnaby, BC · Canada - Burnaby
- Full-time
Microchip Technology Inc. is seeking a Technical Staff Engineer – Applications to join our rapidly expanding DCS organization in Burnaby, Canada. Our products are widely deployed by top AI…
Added 2 months ago
I
Optical Reliability Engineer
Inpho
Ottawa, ON · Kanata, ON
- $125,000 to $170,000 CAD / year
- Full-time
We are seeking an experienced Optical Reliability Engineer to lead the end-to-end reliability characterization and qualification of InP-based photonic devices including EMLs, lasers,…
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
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…
Added 2 months ago
O
Staff FullStack Engineer, Okta Secures AI
Okta
Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified…
Added 2 months ago
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Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod,…
Added 2 months ago
IL
Principal AI Platform Infrastructure Engineer
Invesco Ltd.
Charlottetown, PE
- Full-time
The Principal AI Platform Infrastructure Engineer builds and operates the infrastructure platform that enables secure, scalable deployment of agentic AI solutions across the enterprise.…
Added 1 month ago
Software Engineer
SALT XC
Toronto, ON
Join us as a Software Engineer building the next generation of AI products. This hands-on engineering role combines Platform Engineering, Security, and Software Development to create the…
Added 2 months ago
GS
Lead Support Engineer, Bedrock
Giatec Scientific Inc.
Ottawa, ON
- Full-time
…from plant to pour and beyond, Giatec transforms real-time data into measurable performance, accelerating construction, lowering carbon impact, reducing risk, and ensuring long-term…
Added 2 months ago
Senior Security Engineer II
Braze
Toronto, ON
…AWS, GCP, and self-managed Kubernetes, backed by self-managed data stores such as MongoDB. We're looking for a Senior Cloud Security Engineer II to join our Security Engineering function as…
Added 2 months ago
FB
Forward Deployed Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
As a Forward Deployed Engineer on the Cerebro team, you will be embedded with manufacturing customers and internal production teams to make Cerebro actually work in real plant environments.…
Added 2 months ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
We need a AI Software Engineer who can turn architecture and technical plans into secure, reliable, production-ready solutions. Approximately 70–80% of the role will focus on AI systems,…
Added 2 months ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
…inclusive, user-centric solutions. We’re looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and…
Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
Join a high-impact analytics team that shapes business decisions through data, insights, and AI/ML. Collaborate with business leaders and cross-functional teams to uncover opportunities,…
Added 2 months ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
…developing, optimizing, and operating large-scale batch and real-time data-processing platforms at an enterprise scale. The position requires a candidate who can combine deep technical…
Added 2 months ago
BV
Senior Full Stack Engineer, AI
Big Viking Games
Remote, Canada
- Full-time
- Remote
Big Viking Games is hiring a Senior Full Stack Engineer to build AI-enabled products, workflows, tools, and systems that help turn creative direction into production-ready game content at…
Added 2 months ago
Software Engineer, Full-Stack Applications, Associate Director
Fitch Group
Toronto, ON
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 2 months ago
X
Layout & Design Engineer - SNSPDs (Superconducting Nanowire Single Photon Detectors)
Xanadu
Toronto, ON
- Full-time
Experience using Python for component design, simulation, layout, and data analysis
Added 2 months ago
O
Staff FullStack Engineer, Okta Secures AI
Okta
Waterloo, ON
- $160,000 to $220,000 CAD / year
- Full-time
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified…

Klue

Senior Software Engineer, AI

Toronto, ON, Canada

$140,000 to $230,000 CAD / year · Full-time

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Job details

Pay: $140,000 to $230,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Aug 17, 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 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

Lead the design and development of LLM-powered agents and retrieval systems to automate competitive intelligence workflows. You will build backend pipelines, optimize RAG workflows, and develop evaluation frameworks to ensure high-quality, scalable search experiences.

Requirements

Requires strong software engineering fundamentals in Python and experience building production backend systems, specifically with search, retrieval, or ranking. Candidates should have hands-on experience with vector databases and LLM-powered architectures.

Skills

LLM-powered agents
Retrieval-Augmented Generation (RAG)
Python
Vector Databases
Information Retrieval
Backend Engineering
Distributed Systems
API Design
Prompt Engineering
Cloud Infrastructure
CI/CD
Query Understanding
Ranking Systems
Agentic Reasoning
Evaluation Frameworks
System Architecture

Benefits

Extended health coverage
Dental coverage
Goodlife discount
Perkopolis discount
Employee Stock Option Plan
Flexible vacation policy
Company hardware (Mac or PC)
Annual company kickoff

Visa sponsorship

Not detected in the job text

Keywords

LLM
RAG
Python
OpenAI
Anthropic
PyTorch
Transformers
spaCy
Elasticsearch
Pinecone
PostgreSQL
PGVector
FAISS
Weaviate
OpenSearch
Weights & Biases
MLflow
Langfuse
Docker
Kubernetes
GCP
AWS
Azure
BM25
Dense Retrieval
Hybrid Search
Copilot
Cursor
Claude Code
Competitive Intelligence

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