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Added 1 month ago
IS
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning / AI Engineer to help design, build, test and deploy machine learning and AI-based systems for our BullzAI product line.
Added 5 months ago
LA
Value Engineer (Forward Deployed Engineer)
Lumi AI
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
Reverse-engineer their data model (SAP, Oracle, Databricks, Snowflake) and build the context layer that makes Lumi work for their business.
Added 5 months ago
AA
Python Backend Engineer (AI & Scalable Systems)
Apex Align Agency
Remote, Canada
- $110,000 to $145,000 CAD / year
- Full-time
- Remote
We are looking for a strong Python Backend Engineer who can design and build scalable, production-grade backend systems across AI, automation, and cloud-native environments.
Added 5 months ago
A
Full-Stack Engineer - Production Planning
Afresh
Ontario
- $114,000 to $174,000 CAD / year
- Full-time
Backend/Data: Python, PostgreSQL, GraphQL, DBT, or Databricks.
Added 2 months ago
R&D Project Manager
Cyclic Materials Inc.
Kingston, ON
This position is ideal for a metallurgist or chemical/process engineer who has moved beyond purely technical execution and can lead multidisciplinary R&D workstreams with clear scope,…
Added 3 months ago
CI
Lead Engineer, Total Fund Management Financing, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Lead Software Engineer, Total Fund Management, Financing, you will provide hands-on technical leadership for the design, development and delivery of modern, cloud-native applications…
Added 3 months ago
S
Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
As a Machine Learning Engineer on AQCell, you will build and maintain the models and data infrastructure that power this pipeline. You will work across large, heterogeneous transcriptomic…
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 1 month ago
W
Staff Systems Engineer - Safety Methodologies
Waabi
Toronto, ON
- $200,000 to $256,000 USD / year
- Full-time
…are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless…
Added 1 month ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
The Business Rules Engineering & Strategy team is looking for a Senior Software Engineer to drive forth our mission of building robust IBM ODM Rule solutions that provide transaction-level…
Added 1 month ago
W
Senior / Staff Software Engineer, AI Tech Strike Team
Waabi
Toronto, ON
- $165,000 to $265,000 USD / year
- Full-time
…agents, and workflows that accelerate how we work. As a Software Engineer on the AI Tech Strike Team, you will design, build, and ship the tools that compound the productivity of every team…
Added 1 month ago
TR
Forward Deployed Engineering Intern / Co-op Winter 2027
Trexo Robotics
Remote, Canada
- Full-time
- Remote
We're looking for a Forward Deployed Engineer intern to embed with our internal teams - sales, ops, customer success, RA/QA, finance - figure out where work actually breaks, and build the…
Added 5 months ago
T
Data Engineer
Tactable
Toronto, Ontario
- Full-time
…intersection of infrastructure, pipelines, and product. As a Data Engineer, you’ll be part of a deeply technical team solving real-world data challenges for enterprise clients building…
Added 2 months ago
Q
DSP Application Engineer, Principal
Qualcomm
Ottawa, ON
- Full-time
…connected future for all. As a Qualcomm Hardware Application Engineer, you will provide technical expertise of hardware through trainings, product demonstrations, and the design, debug,…
Added 2 months ago
Senior Security Engineer, AI & DevSecOps
Atlas HXM
Canada
We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization.
Added 1 month ago
E
Production Engineer
Evertz
Burlington, ON
- Full-time
Python certification with experience is an asset
Added 1 month ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Added 1 month ago
Senior Backend Product Engineer, Menu Operations
HelloFresh
Toronto, ON
…preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack…
Added 1 month ago
E
BI Dev/Ops Engineer, Sys Admin/Architect
eBay
Toronto, ON
- Full-time
The BI Platforms - Dev/Ops Engineer, System Admin, Systems Architect will be part of the Data Services team under the Information Technology Services and Solutions group that will design…
Added 1 month ago
MI
Deployment Engineer
Magna International
Aurora, ON
- Full-time
Magna is seeking a highly motivated Deployment Engineer to join the New Mobility group. This individual will be responsible for deployment and onsite support/monitoring of Magna’s…
Added 1 month ago
N
Firmware Engineer
Nokia
Canada
- Full-time
As an Early Career Firmware Engineer, you’ll be part of an agile Scrum team developing software that controls and monitors next‑generation optical network equipment. You’ll be writing…
Added 5 months ago
TA
Forward Deployment Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 5 months ago
SI
Staff Validation/Verification Engineer - 17399
Synopsys Inc
Nepean, Ontario
- Full-time
…starts when the chip comes back from fab. You are the kind of engineer who can look at a waveform on an oscilloscope and know within seconds whether you are chasing a design issue, a board…
Added 5 months ago
E
Embedded Software Engineer
evertz.io
Burlington, Ontario
- $60,000 to $90,000 CAD / year
- Internship
We're looking for a passionate Embedded Software Engineer to join our development team, where you'll play a key role in designing, implementing, and maintaining embedded software for…
Added 5 months ago
E
DSP Engineer (Markham)
EvertzAV
Markham, Ontario
- Internship
Proficiency in programming languages such as VHDL, Python, Matlab, C, C++, and Cuda

Guidepoint

AI Engineer

Toronto, ON, Canada

Apply About employer

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Job details

Experience: Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini.
Posting language: English
Posted: Aug 18, 2026

Original job description

Overview:

Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products.

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto.

What You'll Do:

Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems.
Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS).
Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction.
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants.
Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring.
Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs.
Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards.
Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings.

What You Have:

Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems.
Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments.
Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm).
Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required.
AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift.
Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications.
Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers.

What We Offer:

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

Guidepoint's Interview Process:

We respect your time and aim to keep the process transparent and efficient. Our Talent Acquisition team members act as advisors throughout the process and help ensure everything runs smoothly so you have a seamless candidate experience. Our goal is to make sure this is a mutual fit for both you and our teams.

Talent Acquisition Screen (Virtual, 30 minutes)
Hiring Manager Interview (Virtual, 1 hour)
Live Coding & System Design Test (On-site, 2 hours)
Technical Leadership Interview (Virtual, 1 hour)
Reference Checks (3 professional references)
Offer

About Guidepoint:

Guidepoint powers end-to-end research workflows for the world’s best research teams.

Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI-enabled tools, we support every stage of the decision-making process - from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.

At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.

This job post is for a live vacancy. Base salary may vary depending on job-related knowledge, skills, and experience, as well as geographic location.

Compensation

$135,000 - $210,000 CAD

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More about this job

Responsibilities

Architect and build scalable production systems and APIs to serve Generative AI features and RAG pipelines. Lead the end-to-end AI application lifecycle, including deployment, monitoring, and the implementation of LLMOps best practices.

Requirements

Requires a Bachelor's or Master's degree with 4-6+ years of experience in backend software engineering and Generative AI. Must have proven expertise in Python, cloud infrastructure (Azure preferred), and building production-grade LLM applications.

Skills

Python
Generative AI
LLM
RAG
FastAPI
Kubernetes
Azure
Databricks
MLOps
PyTorch
LangChain
LlamaIndex
Vector Databases
System Design
CI/CD
Asynchronous Programming

Benefits

Paid Time Off
Comprehensive Benefits Plan
Company RRSP Match
Development Opportunities Through LinkedIn Learning

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
LLM
RAG
Retrieval-Augmented Generation
Databricks
Azure
Kubernetes
Docker
FastAPI
Flask
Asyncio
MLflow
LangChain
LlamaIndex
Pinecone
Elasticsearch
Apache Spark
CI/CD
ArgoCD
LLMOps
Prompt Engineering
Chain-of-Thought
ReAct
Microservices
RESTful APIs
Vector Databases
AI Observability
System Design
Distributed Systems

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