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Added 6 months ago
C
Python Full Stack Developer (contract)
Capgemini
Montreal, Quebec
- Contract
We are seeking an accomplished Full Stack Developer with expertise in GenAl technologies to join the team and drive key initiatives forward.
Added 6 months ago
B
Professional Senior, Engineering - Simulation
Bombardier
Dorval, Quebec
- Full-time
You will be part of the Simulation team in Engineering. The Simulation team is responsible for the development of flight dynamics and systems simulation models to support the engineering…
Added 6 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
Added 6 months ago
HC
Co-op Researcher – Computer Vision and Machine Learning
Huawei Canada
Markham, Ontario
- Volunteer
Currently enrolled in senior Bachelor or Master’s in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship…
Added 6 months ago
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Senior Backend Software Developer, Platform & Services
Hive
Remote, Canada
- $123,600 to $187,900 CAD / year
- Full-time
- Remote
At Hive, we handle impressive technical scale: ingesting high-volume data in real-time from 20+ integrations (including Ticketmaster and Eventbrite), storing and querying billions of…
Added 6 months ago
PI
Optical Engineer (Ph.D. / Early Career)
Photonic Inc.
Coquitlam, British Columbia
- Full-time
Proficiency in Python or other scripting languages for data analysis and automation
Added 6 months ago
S
Kubernetes Engineer
Synechron
Halifax, Nova Scotia
- $100,000 to $108,000 CAD / year
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 6 months ago
AI
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
…Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD…
Added 6 months ago
TS
Data Engineer
T-Rex Solutions
Remote, Canada
- $50,000 to $94,000 CAD / year
- Full-time
- Remote
Supports ECS/EAD (Enterprise Case Selection/Enterprise Anomaly Detection) data engineering efforts with a focus on automation and repeatable data processing workflows.
Added 6 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Proficiency with SQL, data pipelines, and feature engineering workflows.
Added 3 months ago
S
Lead Data Scientist
Sixone
Burnaby, British Columbia
- Full-time
Build and manage data pipelines in Python and SQL, locally and on AWS, integrating data from a variety of imaging and edge-sensing devices, including proprietary formats and calibration…
Added 3 months ago
V
Staff AI Data Scientist
Verily
Remote, Canada
- Full-time
- Remote
Strong proficiency in Python and experience building scalable data science and machine learning solutions.
Added 3 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Develop and simulate DSP algorithms (equalization, filtering, estimation, detection) in MATLAB/Simulink and/or Python, from concept through fixed-point validation
Added 3 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Develop and simulate DSP algorithms (equalization, filtering, estimation, detection) in MATLAB/Simulink and/or Python, from concept through fixed-point validation
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
…completed a Master's or PhD degree in Computer Science, Electrical Engineering, Statistics, or a related quantitative discipline with a focus on machine learning, optimization theory, or…
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java
Added 2 months ago
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, ON
If your background is in Cybersecurity, Computer Science and Engineering, Digital Forensics, Management Information Systems, or Security Information Systems, learn more about CRA!
Added 2 months ago
B
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
Added 3 months ago
RE
Systems Performance Analyst II
Recurrent Energy
Guelph, Ontario
- Full-time
…(level II) to assist in the in-depth analysis of performance data from solar photovoltaic and battery storage plants. This position is at the crossroads of solar energy, engineering, and…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation…
Added 3 months ago
OF
QA Automation Engineer
OTT Financial Group
Toronto, Ontario
- Full-time
We are looking for a QA Automation Engineer to join our engineering team and help ensure the quality, reliability, and stability of our software products. The role includes both manual and…
Added 1 month ago
VS
Senior Reliability/Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
Partner with R&D and Mfg. Engineering to develop contract manufacturing ready and reliable test systems, jigs & fixturing.
Added 1 month ago
D
Full Stack Engineer
Dexian
Toronto, ON
- Contract
Looking for a Full-Stack Developer who can work across frontend, backend, and database layers, with strong JavaScript/HTML/CSS, VBA/Python, and SQL experience. Agile methodology and…
Added 1 month ago
M
Applied AI Engineer
MANNARINO
Montreal, QC
- Full-time
Diploma or degree in Computer Science, Software Engineering, Computer Engineering, Data Science or a related discipline, or equivalent practical experience
Added 1 month ago
EB
Intern - Credit Risk, Winter 2027
EQ Bank
Toronto, ON
- Internship
…is accountable for producing accurate analysis, maintaining data integrity, and adhering to internal risk management and governance…

Guidepoint

Senior Data/AI Engineer

Toronto, ON, Canada

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Job details

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: Aug 18, 2026

Original job description

Overview:

Guidepoint seeks an experienced Data/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 Senior 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

About Guidepoint

Guidepoint powers end-to-end research workflows for the world’s best research teams.

Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI-enabled tools, we support every stage of the decision-making process - from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.

At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.

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

Architect and build scalable production systems and APIs to serve Generative AI features and RAG pipelines. Lead the end-to-end AI application lifecycle while mentoring junior engineers and influencing the product roadmap.

Requirements

Requires a Bachelor's or Master's degree with 4-6+ years of experience in backend software engineering and Generative AI. Must have proven expertise in Python, cloud infrastructure (Azure preferred), and modern LLM patterns like RAG and multi-agent systems.

Skills

Python
Generative AI
LLM
RAG
Databricks
Azure Kubernetes Service
FastAPI
Docker
Kubernetes
LangChain
LlamaIndex
MLOps
Vector Databases
Apache Spark
CI/CD
System Design

Benefits

Paid Time Off
Comprehensive Benefits Plan
Company RRSP Match
Development Opportunities Through LinkedIn Learning

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
RAG
LLMOps
Databricks
Azure
Kubernetes
Docker
Python
FastAPI
Flask
Asyncio
RESTful APIs
Microservices
ArgoCD
Pinecone
Elasticsearch
MLflow
Apache Spark
LangChain
LlamaIndex
Chain-of-Thought
ReAct
Vector Databases
Prompt Engineering
AI Observability
Distributed Systems
Backend Engineering
AI Agents
Cloud Computing

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