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Added 22 mins ago
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Technical Support Engineer
TechDoQuest
Toronto, ON
- Contract
Handle incidents, service requests, and change management activities through ServiceNow.
Added 22 mins ago
ST
EUC Support/Desktop Support
SRI Tech Solutions Inc.
Deschambault-Grondines, QC
- Contract
We are looking for an EUC (End User Computing) Support Engineer to provide technical support to employees for their desktops, laptops, applications, and other IT-related issues. The…
Added 22 mins ago
Y
GitOps Administrator / DevOps Engineer (Azure)
Yochana
Calgary, AB
- Full-time
Position Name – GitOps Administrator / DevOps Engineer (Azure)
Added 52 mins ago
Electrical and Control Senior Specialist
Lloyds Register
Burlington, ON
We are looking for a Technical Support Office (TSO) colleague to provide a world-wide, plan approval service to shipbuilders, ship owners and manufacturers. The purpose of this role is to…
Added 1 hour ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
Role: Jira Service Management Intake Automation Developer
Added 1 hour ago
LT
Systems Reliability Engineer
Lorven Technologies Inc.
Toronto, ON
- Contract
We are seeking a Systems Reliability Engineer to join the Technical Operations team supporting our Embedded Finance (EmFi) platform. In this role, you will own the reliability and…
Added 1 hour ago
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AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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 hour ago
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Junior Solutions Engineer
Pontosense
Toronto, ON
- Full-time
Added 1 hour ago
AS
DevOps Engineer (Azure)
Ardent SoftSol Inc.
Calgary, AB
- $58 to $63 CAD / hour
- Contract
This job posting is for an existing, active vacancy and we are looking for GitOps Administrator / DevOps Engineer (Azure) immediately with experience in GitOps DevOps , Azure
Added 1 hour ago
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Network Engineer testing
TechDoQuest
Brampton, ON
- Contract
Working experience in End-To-End call flow analysis, service assurance and KPI analysis.
Added 1 hour ago
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Outside Sales Engineer
Preston Phipps Inc
Mississauga, ON
- Full-time
Preston Phipps is looking for a technically curious, relationship‑driven sales engineer to support our growth across Central Canada. In this role, you’ll learn how to become a trusted…
Added 3 hours ago
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Senior Site Reliability Engineer, Data Infrastructure
Chainlink Labs
Remote, Canada
- Full-time
- Remote
The Senior Site Reliability Engineer will own the reliability and operational performance of large-scale distributed systems and data infrastructure. This role will strengthen the…
Added 4 hours ago
GC
Staff Software Engineer - GNSS / INS
Garmin Canada
Cochrane, AB
- Full-time
We are seeking a full-time Staff Software Engineer (GNSS / INS) at Garmin's U.S. headquarters in the Greater Kansas City area. This role is on our Core Platform Technology team and will…
Added 4 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 4 hours ago
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Project Manager (Design-Build)
Avia NG Airport Consultants
Richmond Hill, ON
- $100,000 to $140,000 CAD / year
- Full-time
Added 5 hours ago
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Field Service Technician - Specialty Rental - Acheson, Alberta, Canada
Atlas Copco
AB · Alberta, Canada
- Full-time
Your mission as the Field Service Engineer is to provide expert repair services for our technology solutions, delivering unmatched customer satisfaction and upholding the highest standards…
Added 5 hours ago
AC
Field Service Technician - Specialty Rental - Acheson, Alberta, Canada
Atlas Copco
Acheson, AB
- Full-time
Your mission as the Field Service Engineer is to provide expert repair services for our technology solutions, delivering unmatched customer satisfaction and upholding the highest standards…
Added 6 hours ago
ME
Civil Design Engineer (P.Eng.)
M2 Engineering
AB · Edmonton, AB
- Full-time
…oriented, and an effective communicator. As a Professional Engineer you are required to provide excellent customer service, perform your duties in a busy environment, and possess the roles…
Added 6 hours ago
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Project Engineer
Rally Engineering
Sherwood Park, AB
- Full-time
Rally Engineering Inc is seeking a highly motivated and detail-oriented Project Engineer to join our dynamic team. The ideal candidate will be responsible for coordinating engineering…
Added 9 hours ago
TC
Production / Application Support Engineer
Tata Consultancy Services
Montreal, QC
- Full-time
We are seeking an experienced Production/Application Support Engineer with expertise in Unix/Linux, Python, Perl, IBM DB2, NAS Storage, and Archiving Applications. The ideal candidate will…
Added 10 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 11 hours ago
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Civil Engineer - Design and Project Management, Urban Infrastructure, Greater Montreal Area
JobsMedia.io
Montreal, QC
- Full-time
Civil Engineer - Design and Project Management - Urban Infrastructure - Greater Montreal Area
Added 11 hours ago
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Mining and Industrial Water Treatment Engineer
AECOM
AB · Edmonton, AB
- $115,000 to $180,000 CAD / year
- Full-time
AECOM is seeking a Mining and Industrial Water Treatment Engineer to provide technical leadership in the design and upgrading of water treatment infrastructure for mining and industrial…
Added 12 hours ago
TT
Gas Turbine Engineer
Turbine Technical Services
Quebec, QC
- Full-time
TTS is seeking a competent Field Service Engineer with gas turbine experience who will leverage their expertise in OEM legacy control systems and PLC control systems, troubleshooting,…
Added 14 hours ago
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SYSTEMS ENGINEER
Design Electronics
Niagara Falls, ON
- Full-time
Reporting to the Chief Design Officer, the Systems Design Engineer will be the technical expert responsible for pre-sales, design/build, sales support, and quality assurance.

Guidepoint

AI Engineer

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

Full-time

Apply About employer

Applications open in a new tab.

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

Apply About employer

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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