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Added 2 hours ago
C
Lead Full Stack Developer, Vice President
Citi
Mississauga, ON
- Full-time
Architect end-to-end solutions for complex business problems, applying established design patterns and engineering best practices to deliver robust, production-ready systems.
Added 2 hours ago
ES
Senior ServiceNow Architect
EPAM Systems
Canada
- Full-time
We are seeking an experienced and strategic ServiceNow Architect to lead the design, implementation, and scaling of our enterprise ServiceNow platform. In this role, you will bridge the gap…
Added 2 hours ago
LT
Technical Architect for Box Capital Markets
Lorven Technologies Inc.
Toronto, ON
- Contract
Role Name: Technical Architect for Box Capital Markets
Added 2 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 2 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 2 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 2 hours ago
M
Machine Learning Engineer
Mission.dev
Canada
- Full-time
Mission is a platform for hiring, vetting and managing software development talents. It enables our clients to connect with the world’s best talent to build mission-critical software…
Added 3 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data & Analytics Solutions Architect
Added 3 hours ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
You will collaborate with engineering, architecture, product, security, and platform teams to develop API-first services, enhance system reliability, and modernize application delivery…
Added 4 hours ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…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.…
Added 7 hours ago
ZL
[SCFD2MWC] AI Architect
ZettaMine Labs Pvt. Ltd.
Canada
- Full-time
FTE Opportunity :- We are hiring an AI and Data Architect for a strategic Enterprise Data, AI, Generative AI & Agentic AI Architecture initiative with a Tier 1 Bank in the Banking and…
Added 9 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
…engineering teams and coding agents can build against them, is the AI Architect's…
Added 12 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build and maintain a hybrid integration platform, utilizing web services or RESTful-based integrations and APIs
Added 14 hours ago
Sr. Solution Architect
Rogers Communications
Brampton, ON · Calgary, AB
We’re looking for a hands-on Senior Solution Architect to lead the design and deliver scalable, secure, and reusable data and AI solutions.
Added 15 hours ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
…team building a next-generation AI-powered financial assistant platform. In this role, you will work closely with sophisticated global institutional clients and business users to rapidly…
Added 16 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 16 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 16 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 18 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
…intersection of infrastructure engineering, DevSecOps, and emerging AI platform delivery - sitting within InfoTrack’s Global IT team and working closely with engineering squads across…
Added 18 hours ago
X
Software Developer - Frontend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
Collaborate with product, design, and technical writers to develop and launch new features for our platform.
Added 18 hours ago
X
Technical Product Marketing Manager
Xanadu
Toronto, ON
- Full-time
Architect, execute, and scale multi-channel marketing campaigns designed to attract new developers, students, and industry scientists expanding market share and directly generating…
Added 18 hours ago
X
Data Platform Engineer
Xanadu
Toronto, ON
- Full-time
As a Data Platform Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and…
Added 19 hours ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
This role provides technical leadership for a leading retailer's Enterprise Product Data Transformation program. This foundational initiative is modernizing the end-to-end product data,…
Added 21 hours ago
LD
Staff Data Engineer
Loblaw Digital
Toronto, ON
- Full-time
As a Staff Data Engineer, you will play a technical leadership and architecture role on the Retail Media Platform team. This is a senior, hands-on position focused on designing, building,…
Added 23 hours ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
We are seeking a highly skilled Senior Data Developer (Engineer) to join our dynamic team. This role is instrumental in establishing a robust data foundation for Contact Distributor, our…

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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