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Added 7 mins ago
K
CRO Lead (Hands-On)
KittySpout
Remote, Canada
- $4,000 to $6,000 USD / month
- Full-time
- Remote
KittySpout / DoggySpout is looking for a hands-on CRO Lead to join our team! You will own every conversion test across our site, landing pages, paid-acquisition funnels, on-site offers and…
Added 37 mins ago
K
Senior Performance Video Creative - Consumer
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Canada
- Full-time
Build creative with testing in mind. Performance Marketing owns test design, cadence and readouts. You own the creative response: reading the results, forming a point of view on why a…
Added 37 mins ago
KG
Yard Labourer
Kleysen Group Ltd
Winnipeg, MB
- Full-time
Are you looking to join a diversely skilled & talented team in a company that offers on-the-job training and opportunities for promotion as your skills develop? We are currently looking to…
Added 37 mins ago
RM
RN Registered Nurse
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
- Temporary
…their mother and family, and will only leave their mother if a test needs to be done or if there is a clinical need to more closely observe the…
Added 37 mins ago
PF
Nurse Practitioner- Part-Time/ Full-Time Opportunities
Peterborough Family Health Team
Peterborough, ON
- Full-time
- Part-time
We are currently seeking Nurse Practitioners for a variety of job opportunities to support the expanding needs of the organization and to ensure consistency in service delivery.
Added 37 mins ago
RF
Nurse Practitioner
Rapids Family Health Team
Sarnia, ON
- Part-time
Added 37 mins ago
A
CAD-DFT Engineer
Arm
Toronto, ON
- Full-time
Added 38 mins ago
Principal Product Manager - Vertical Partnerships
Constant Contact
ON
Invention and reinvention are part of the job. You’ll build new products and also rethink how we approach partnerships, from process to packaging.
Added 1 hour ago
SI
Lead Java Developer - Strong in Spring Boot, Struts and Angular
Smart IT Frame LLC
Toronto, ON
- Contract
Job Title: Java Pure Backend Developer - Strong in Spring Boot, Struts and Angular
Added 1 hour ago
Senior Software Developer, Workspace Safety and Security Team, AI/ML GenAI
Google
Waterloo, ON
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Added 1 hour ago
Software Developer III, Google Cloud Platforms, EasySaaS Deployments
Google
Waterloo, ON
Proficiency in code and system health, diagnosis and resolution, and software test developing.
Added 1 hour ago
AC
Sub-Agent (Renewables)
Aureos Capital
Vanguard, SK
- Full-time
Ensure Inspection and Test Plans (ITPs) are implemented and completed.
Added 1 hour ago
BG
Senior Talent Partner
Bond Global
Kitchener, ON
- Full-time
Prep & research: Use Claude, ChatGPT, whatever helps - draft answers, pressure-test stories, research us. It’s how we work too.
Added 1 hour ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 1 hour ago
BG
Senior Talent Partner - Engineering - Canada
Bond Global
Kitchener, ON
- Full-time
Prep & research: Use Claude, ChatGPT, whatever helps - draft answers, pressure-test stories, research us. It’s how we work too.
Added 1 hour ago
P
Junior Solutions Engineer
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 1 hour ago
P
Customer Success Manager
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 1 hour ago
P
Customer Support Specialist
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 1 hour ago
P
Office Manager
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 1 hour ago
P
Product Lead
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 1 hour ago
P
Manager, Customer Support
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 1 hour ago
P
Supply Chain Manager
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 1 hour ago
P
Director of HR
Pontosense
Toronto, ON
- Full-time
Build it right, then make it better. People's safety rides on what we ship, so we test hard and never settle for good enough.
Added 2 hours ago
NT
Full Stack Developer - SaaS & Quantitative Tools
Northview Technologies
Montreal, QC
- Full-time
Test, review, document, and maintain your work, including AI-generated code.
Added 2 hours ago
QI
Staff ASIC Verification Engineer, Low Power AI
Qualcomm Innovation Center, Inc.
Markham, ON
- Full-time
Drive test plan development, execution and verification closure in conjunction with the design and verification teams

Guidepoint

AI Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 11, 2026
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: Oct 12, 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 is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

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

Design, build, deploy, and operate scalable production AI systems, including LLM applications, RAG pipelines, research agents, APIs, and integrations with internal knowledge repositories and external data sources. Improve AI quality, safety, and reliability through evaluation, monitoring, LLMOps practices, and technical leadership while partnering with stakeholders to shape product priorities.

Requirements

Requires a bachelor's degree and at least six years of relevant experience, or a master's degree and at least four years, including backend engineering and production-grade Generative AI systems. Candidates need strong Python and cloud-native engineering experience, at least two years building LLM applications, and practical expertise in RAG, AI evaluation, large-scale data platforms, and mentoring engineers.

Skills

Python
Backend Software Engineering
Generative AI
Large Language Models
Retrieval-Augmented Generation
RESTful APIs
Microservices
Asynchronous Programming
Azure
Kubernetes
Docker
LLMOps
Prompt Engineering
Vector Databases
Databricks
Technical Leadership

Benefits

Paid Time Off
Comprehensive Benefits Plan
Company RRSP Match
LinkedIn Learning Development Opportunities
Annual Discretionary Performance Bonus

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Flask
Asyncio
RESTful APIs
Microservices
Generative AI
Large Language Models
Retrieval-Augmented Generation
Hybrid Search
Vector Databases
Pinecone
Elasticsearch
Multi-Agent Systems
Prompt Engineering
LLM Judges
MLflow
LLMOps
Databricks
Apache Spark
Azure
Azure Kubernetes Service
Kubernetes
Helm
Docker
LangChain
LlamaIndex
CI/CD
ArgoCD
Observability

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