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Added 54 mins ago
NS
Senior Site Reliability Engineer – Adobe Cloud & Edge Delivery
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer focused on CDN, edge delivery, web performance, and reliability for a high-traffic, public-facing enterprise web platform. The role…
Added 54 mins 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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Network Engineer testing
TechDoQuest
Brampton, ON
- Contract
Working Experience as IMS/Cloud Engineer of AudioCodes SBC deployment over cloud
Added 8 hours ago
TC
Senior Network Engineer - Data Center & Network Infrastructure
Tata Consultancy Services
Montreal, QC
- Full-time
Looking for a Senior Network Engineer with strong experience in designing, implementing, and supporting enterprise-scale Data Center and Network Infrastructure environments. The candidate…
Added 14 hours ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
Experience with one of the major cloud providers, AWS preferred
Added 14 hours ago
X
Cloud Engineer
Xanadu
Toronto, ON
- Full-time
As a Cloud Engineer, you will contribute to the cloud platform and the infrastructure which hosts all our internal projects workloads. You will work on a team to support and maintain…
Added 21 hours ago
TI
Cyber Security Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 1 day ago
FS
Lead software engineer
Forgeahead Solutions Corporation
Surrey, BC
- From $130,000 CAD / year
- Full-time
- Hybrid
Develop process and network models to optimize architecture
Added 1 day ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 1 day ago
1
Infrastructure Architect
123Dentist
Toronto, ON
- $150,000 to $175,000 CAD / year
- Full-time
The Infrastructure Architect is the senior technical engineer for 123Dentist’s server, identity, cloud, and network infrastructure, combining deep hands-on design and engineering with…
Added 1 day ago
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RF Systems Engineer
Open People Network (OPN)
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…where everything else fails: extreme cold, GPS-denied, and network-degraded conditions. We serve critical infrastructure operators and defense customers with a single product line, built in…
Added 2 days ago
IT Systems Administrator - Security & Operations
Tree Time Services
Sherwood Park, AB
…occasionally on-site) for workstations (Windows 11, ChromeOS Flex), network printers, and cloud VoIP desk phones (~5 hrs/week ticket…
Added 2 days ago
AS
Sr. IT Support Engineer
Atellos Solutions
Engineer, BC
- Full-time
As a Senior Network Operations Center Engineer, you will play a pivotal role in leading the design and maintenance of our intricate system environment, catering to both internal operations…
Added 2 days ago
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Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…team members to design and implement security solutions (e.g. Cloud/App Security, AI to Defend) for our clients, helping secure their cloud environments and software development processes.…
Added 2 days ago
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Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
Join an exciting cloud migration initiative involving approximately 30 talented individuals across three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide…
Added 2 days ago
A
Devops Engineer
Actalent
Montreal, QC
- $55 to $65 CAD / hour
- Contract
Join an exciting cloud migration initiative involving approximately 30 talented individuals across three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide…
Added 2 days ago
A
Devops Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Contract
Join an exciting cloud migration initiative involving approximately 30 talented individuals across three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide…
Added 2 days ago
A
Devops Engineer
Actalent
Calgary, AB
- $55 to $65 CAD / hour
- Contract
Join an exciting cloud migration initiative involving approximately 30 talented individuals across three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide…
Added 2 days ago
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Principal Engineer, Cyber Technology Operations SRE (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…security controls are operating as expected at all times . Our Network Security and Endpoint Security operations teams are facing greater pressure adapt to the changing landscape, execute…
Added 2 days ago
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Network Engineer
Imani-Health
Field, BC
- Contract
Imani Health is looking for a skilled Network Engineer to support the deployment of our offline hospital system across partner hospitals and clinics.
Added 2 days ago
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Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 2 days ago
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Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 2 days ago
CI
Lead software engineer
Cogency Inc
Toronto, ON
- From $57 CAD / hour
- Full-time
- On-site
Develop process and network models to optimize architecture
Added 2 days ago
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Associate, Client Engineering (Mexico City)
Glia
Vancouver, BC
- Full-time
As part of our Entry Client Engineer Team, you'll help our customers to resolve complex technical problems, providing proactive guidance, and adding value through the use of Glia’s…
Added 2 days ago
KR
Firewall Consultant
KTek Resourcing
Calgary, AB
- Contract
These skills align with network security engineer profiles referencing Palo Alto, Cisco Firepower/ASA, VPNs, routing, switching, cloud security, Splunk, SolarWinds, and related security…

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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