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Added 2 hours ago
ES
Lead AI Engineer - TCO Agent Platform
EPAM Systems
Canada
- Full-time
Frameworks & Languages: Advanced proficiency in Python 3.11+, FastMCP, FastAPI, and Pydantic. Prior experience with object-oriented enterprise languages (e.g., Java) for seamless…
Added 2 hours ago
MC
Senior Security Engineer
MatchBox Consulting Group
Vancouver, BC
- Full-time
Lead and oversee day-to-day security operations, utilizing AI-assisted analysis to ensure rapid and proper coordination of response with all parties of interest.
Added 2 hours ago
HR
Software Analyst (SWAT), Senior
Hitachi Rail
Toronto, ON
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 2 hours ago
HR
Software Architect - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
Experience with additional programming languages such as Java, C#, Python, and Assembly.
Added 2 hours ago
HR
Technical Specialist, Quality Assurance
Hitachi Rail
Toronto, ON
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 2 hours ago
HR
Technical Specialist, Quality Assurance
Hitachi Rail
Burnaby, BC
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 2 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 2 hours ago
HO
New Grad Program - Business/Finance - Markham - June 2027
Hydro One
Markham, ON
- Full-time
Proficiency with Power BI, Power Automate, Power Apps, SQL, Python, VBA, or similar technologies is considered a strong asset.
Added 2 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 3 hours ago
New Grad Program - Business/Finance - Markham - June 2027
Hydro One Networks Inc
Markham, ON
Proficiency with Power BI, Power Automate, Power Apps, SQL, Python, VBA, or similar technologies is considered a strong asset.
Added 4 hours ago
GD
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Calgary, AB
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 5 hours ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
…workloads across on-premises and public-cloud environments, with a strong emphasis on governance, security, and developer…
Added 6 hours ago
C
Principal Machine Learning Developer
Cisco
AB · Calgary, Alberta
- Full-time
Experience with programming languages in C++, Go, Java, and/or Python
Added 6 hours ago
P
AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
- $80,000 to $95,000 CAD / year
- Full-time
You’ll work alongside Account Executives and Account Managers throughout the sales process, speaking directly with prospective customers to understand their patent, IP and innovation…
Added 8 hours ago
ES
Lead Software Engineer, Applied AI (Frontend Leading)
EPAM Systems
Canada
- Full-time
Implement LLM-based experiences using frameworks like LangChain or LlamaIndex with leading model providers (OpenAI, Claude, Gemini, etc.)
Added 8 hours ago
HR
System Design Specialist, Intermediate
Hitachi Rail
Toronto, ON
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 8 hours ago
SI
Java Python Developer
Smart IT Frame LLC
Toronto, ON
- Contract
We have a contract role with one of our clients. Kindly find the below details.
Added 8 hours ago
KT
Python Developer with AWS
K&K Talents
Toronto, ON
- Contract
…for an experienced, self-directed individual who can operate with a high degree of autonomy, take ownership of outcomes, and deliver working solutions with minimal day-to-day…
Added 8 hours ago
MI
Staff/Senior Embedded Systems Engineer
Movellus Inc.
Markham, ON
- Full-time
Join our Software Team to build the embedded firmware powering the next generation of AI datacenter hardware with real-time power control and telemetry. We need someone passionate about…
Added 8 hours ago
PC
Deals - Deal Valuation - Senior Associate
PwC Canada
Toronto, ON
- Full-time
…how you work (Strong command of Microsoft Excel, experience with Microsoft Power Platform and…
Added 8 hours ago
SI
Application Developer with Java, React.JS, Python and Linux experience
Smart IT Frame LLC
Toronto, ON
- Contract
Role: Application Developer Software Engineer with experience in Java, React.JS, Python and Linux
Added 8 hours ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 8 hours ago
C
Software Developer, Hybrid, Ottawa, Canada
Cisco
Ottawa, ON
- Full-time
We are seeking a highly skilled Software Developer to deliver features needed for integration between Cisco Cloud Control and Cisco Catalyst Center. In this role, you will design and lead…
Added 8 hours ago
N
Software Engineer - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with C++, Go, or Python.
Added 8 hours ago
N
Member of Technical Staff 4 - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with C++, Go, or Python.

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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