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Added 9 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development
Added 9 days ago
W
Software Engineer I
Wayfair
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
…feel confident in your knowledge of object oriented design, data structures, & algorithms and your ability to grow your skills over time, please apply! We want to connect with developers…
Added 9 days ago
ET
AVP, Lead Software AI Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
AVP - Senior Engineering Lead, AI Software Engineering
Added 9 days ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Nous recherchons des data scientists chevronnés, dotés de solides bases mathématiques, d'une expérience dans la création de solutions basées sur l'IA à partir de données réelles, et d'un…
Added 9 days ago
A
AI Developer
Apptad
Montreal, QC
- Contract
Build AI-enabled features that generate client summaries from structured and unstructured data using OpenAI APIs and similar LLM providers.
Added 9 days ago
FS
AI Engineer
Futran Solutions
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 9 days ago
W
Machine Learning Scientist III - Customer Service AI
Wayfair
Toronto, ON
- $211,914 to $225,158.5 CAD / year
- Full-time
Software Engineering & Infrastructure: Expert-level software development skills in Python, with clean production code standards, asynchronous programming, containerization (Docker,…
Added 9 days ago
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Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
Develop production APIs: Build and maintain Python services and APIs that connect agents to Guidepoint products, internal data, and third-party providers.
Added 9 days ago
HN
Mechatronics Engineer | Robotics & Automation
Harvey Nash
Vancouver, BC
- Full-time
This isn't a pure mechanical, electrical, controls, firmware or PLC role. It's a highly hands-on engineering position for someone who enjoys building systems, running experiments,…
Added 9 days ago
CF
Data Architect & Analytics Team Lead
Canadian Football League
Toronto, ON
- Full-time
…strong business leader to build the next generation of its data and analytics capability. This role is designed for someone who worked in technology, analytics, software, consulting,…
Added 9 days ago
N
Software Engineer 2 - Kubernetes Backend and Platform Engineering
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
This is a high-impact, hands-on engineering role. You will bridge the gap between underlying container orchestration and advanced AI/ML workloads. You will be tackling hard problems in…
Added 9 days ago
U
Full-Stack Software Engineer (Toronto)
Ultrassure
Toronto, ON
- Full-time
Our core stack includes Next.js, TypeScript, Python, Django and AWS.
Added 9 days ago
SC
Senior Environmental or Water Resources Engineer
SRK Consulting
Quebec, QC
- Full-time
Experience with data science, coding (Python, R, Visual Basic), or AI (Claude Code) is an asset.
Added 9 days ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Resiliency and chaos engineering – designing multi-region, multi-cloud disaster recovery strategies to ensure 99.9999% availability
Added 9 days ago
P
Associate Data Engineer
Punt
Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
Data Ingestion & Integration: Develop and operate robust extract/load (ELT) pipelines in Python to ingest data from relational databases, APIs, and event streams.
Added 9 days ago
B
Data Integrity Lead
BGIS
Toronto, ON
- Full-time
Hands‑on experience using technical tools and scripting (e.g., SQL, Python, PowerShell, or equivalent) to interrogate datasets, automate data quality checks, and produce exception reporting.
Added 9 days ago
A
BIM Coordinator
AtkinsRéalis
Toronto, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 9 days ago
T
Site Reliability Engineer Lead
TD
Toronto, ON
- Full-time
…(TAG) supports Treasury and Balance Sheet Management (TBSM) by engineering the systems, data platforms, and infrastructure used to measure, monitor, and manage liquidity and market risk…
Added 9 days ago
A
Software Engineer - Factory Apps - Intern
Altera
Toronto, ON
- Full-time
Experience with Python or scripting for automation, testing, or data analysis.
Added 9 days ago
Principle Backup Engineer
Scotiabank
Toronto, ON
Oversees the Storage and/or Backup Engineering Platforms ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, security…
Added 9 days ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 9 days ago
SI
Database Administrator
STACK IT Recruitment
Remote, Canada
- $100,000 to $130,000 CAD / year
- Full-time
- Remote
Work with the infrastructure-as-a-service provider, data engineering and development on promotions to production
Added 9 days ago
SI
Database Administrator
STACK IT Recruitment
Remote, Canada
- $100,000 to $130,000 CAD / year
- Full-time
- Remote
Work with the infrastructure-as-a-service provider, data engineering and development on promotions to production
Added 9 days ago
SI
Database Administrator
STACK IT Recruitment
Remote, Canada
- $100,000 to $130,000 CAD / year
- Full-time
- Remote
Work with the infrastructure-as-a-service provider, data engineering and development on promotions to production
Added 9 days ago
Data Analyst Intern (Winter/January 2027, 12 Months)
Internship List
Burnaby, BC · Oakville, ON · Toronto, ON
Use AI coding assistants (such as Claude Code or Codex) every day to write and review SQL and Python, build reports, automate data quality checks and pipeline monitoring, and draft…

Guidepoint

Senior AI Engineer

Toronto, ON, Canada

$175,000 - $210,000 CAD · Full-time

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Job details

Pay: $175,000 - $210,000 CAD
Job type: Full-time
Apply by: Nov 28, 2026
Experience: 8+ years of software engineering experience, including 3+ years building and operating production AI or LLM-powered products.
Posting language: English
Posted: Oct 29, 2026

Original job description

Overview

Guidepoint is investing in applied AI across its research platform. We are building production AI systems that help research teams interact with our global expert network and proprietary knowledge assets. These systems combine multi-agent workflows, conversational AI, retrieval, and structured data to support reliable, high-quality research experiences.

We are looking for a hands-on Senior AI Engineer to take working prototypes into production and shape the architecture as the product grows. You will have broad ownership across agent design, evaluation, APIs, and cloud deployment, working closely with product, engineering, and compliance stakeholders.

This is a hybrid role based in our Toronto office.

What You’ll Do:

Build multi-agent workflows: Design and ship systems where specialized agents collaborate to complete research tasks, including task planning, tool use, delegation, handoffs, and result synthesis.
Make agent behavior dependable: Enforce permissions, domain rules, workflow boundaries, and output requirements in application code. Design for safe tool use, clear failure handling, and human review when needed.
Own orchestration and state: Build reliable multi-turn workflows with explicit state management, memory and context strategies, timeouts, retries, and recovery from partial failures.
Develop production APIs: Build and maintain Python services and APIs that connect agents to Guidepoint products, internal data, and third-party providers.
Ground responses in trusted data: Build retrieval and search pipelines over large internal knowledge assets. Return structured, traceable results and make it clear which sources support an answer.
Build the evaluation system: Define and maintain evaluations for task success, factual accuracy, groundedness, completeness, policy adherence, latency, and cost. Use representative test sets, regression checks, and production feedback to guide improvements and rollout decisions.
Deploy and operate AI services: Own services from design through production deployment and operations, using containers, Kubernetes, Azure, and Databricks where appropriate.
Tune the full AI pipeline: Select models and tools, engineer context, define structured outputs, and manage tradeoffs among quality, latency, reliability, and cost.
Integrate providers cleanly: Put model, retrieval, and voice providers behind clear interfaces so the system can evolve as products and requirements change.
Set engineering practices: Establish patterns for code review, testing, observability, incident response, and production readiness as the team grows.

What You Have:

8+ years of software engineering experience, including 3+ years building and operating production AI or LLM-powered products.
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.
Demonstrated experience designing and shipping multi-agent or agentic workflows in production, including orchestration, tool use, state management, and failure handling.
Strong Python skills and experience building production APIs and backend services. TypeScript experience is useful.
Hands-on experience with cloud-native deployment, including containers, Kubernetes, CI/CD, and production observability.
Experience working with Azure and/or Databricks in production environments.
Practical experience with LLM evaluation: creating test sets, measuring quality and accuracy, analyzing failures, and using results to improve systems or gate releases.
Experience with retrieval-augmented generation, embeddings, vector databases, or large-scale search systems.
Understanding of model and workflow risks, including unsupported answers, prompt injection, unsafe tool calls, and data access boundaries - and experience addressing them through system design and code.
Experience operating services with production requirements for reliability, latency, and cost.
Product judgment: you can scope a useful first version, compare approaches with evidence, and ship iteratively.

Nice to Have:

Experience with agent and orchestration frameworks such as LangGraph, LangChain, or similar, along with the judgment to use plain code when it is a better fit.
Experience with Databricks, including its data, machine learning, or deployment workflows.
Real-time or streaming systems experience, such as WebSockets, WebRTC, audio pipelines, or other low-latency services.
Voice AI experience, including telephony platforms, speech-to-text, text-to-speech, turn-taking, or voice-agent frameworks.
Knowledge graphs or large-scale information retrieval experience.
Experience in regulated or compliance-sensitive industries such as healthcare or finance.
Experience with LLM-as-judge methods, human review workflows, or production monitoring for AI quality.

What We Offer:

The annual base salary range for this position is 175,000-210,000. 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 posting is for an existing vacancy. The salary offered will be based on the successful candidate’s skills, experience, qualifications, and location.

Compensation

$175,000 - $210,000 CAD

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More about this job

Responsibilities

Design, build, and operate production AI systems, including multi-agent workflows, reliable orchestration, Python APIs, and retrieval pipelines grounded in trusted data. Establish evaluation and engineering practices, deploy and monitor services in cloud environments, and improve AI quality, reliability, latency, and cost in collaboration with product, engineering, and compliance teams.

Requirements

Requires 8+ years of software engineering experience, including 3+ years building and operating production AI or LLM products, with a relevant bachelor's degree and 6+ years of professional experience or a master's degree and 4+ years. Candidates should have production experience with agentic workflows, Python backend services, cloud-native deployment, Azure and/or Databricks, LLM evaluation, retrieval systems, and designing for reliability, safety, and cost.

Skills

Python
Multi-Agent Workflows
Agent Orchestration
Production APIs
Distributed Systems
LLM Evaluation
Retrieval-Augmented Generation
Vector Databases
Kubernetes
Azure
Databricks
CI/CD
Cloud-Native Deployment
Production Observability
AI Safety and Risk Management
State Management

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Python
TypeScript
Generative AI
Large Language Models
Multi-Agent Workflows
Agent Orchestration
LangGraph
LangChain
Retrieval-Augmented Generation
Embeddings
Vector Databases
Information Retrieval
Knowledge Graphs
Azure
Databricks
Kubernetes
Containers
CI/CD
Production APIs
Distributed Systems
LLM Evaluation
LLM-as-Judge
Prompt Injection
Human Review
Observability
WebSockets
WebRTC
Voice AI
Speech-to-Text
Text-to-Speech

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