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Added 48 mins ago
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Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Headquartered in Vancouver and with strategic hubs in San Diego and Dublin, we foster a culture of collaboration and open communication. Our offices support a hybrid model and staff…
Added 1 hour ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 2 hours ago
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Artificial Intelligence Engineer
Swoon
Toronto, ON
- Contract
Familiarity with Retrieval-Augmented Generation (RAG), embeddings, vector databases, and hybrid search.
Added 2 hours ago
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AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
Work Model: Hybrid preferred but open to considering remote
Added 3 hours ago
A
IP Verification Engineer
Arm
Toronto, ON
- Full-time
As a creative problem solving Security and Embedded Processor Verification Engineer, you will be part of a team that will define and realize the Hardware Security IP and Subsystem. We will…
Added 3 hours ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise is the primary priority for this role. We are looking for an engineer who excels at utilizing modern…
Added 3 hours ago
AE
Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- $82,000 to $124,000 USD / year
- Full-time
Experience programming in Python and familiarity with one or more languages such as Java, JavaScript, Go, C/C++, or similar technologies.
Added 3 hours ago
AS
DevOps Engineer – Data Protection Services
Axelon Services Corporation
Montreal, QC
- $55.17 USD / hour
- Other
Onboard new DevOps tools and maintain existing platforms to address business requirements and ensure effective integration with the company’s technology ecosystem.
Added 3 hours ago
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DevOps Engineer
Synechron
Montreal, QC
- $75,000 to $85,000 CAD / year
- Full-time
Une expérience professionnelle en scripting : Python, Linux Shell
Added 3 hours ago
AI
Databricks DataOps / SRE Engineer
Avanciers Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Avanciers Incorporated is hiring a Databricks DataOps / SRE Engineer for one of our clients.
Added 3 hours ago
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Junior Cyber Incident Response Analyst
Hootsuite
Ottawa, ON
- Full-time
Some experience with programming or scripting, including Bash, Python, YAML, and PowerShell
Added 3 hours ago
MT
DevOps and Security Engineer
Martello Technologies
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
As our DevOps & Security Engineer, you’ll own how Vantage DX and MPA are built, deployed, and secured. That means running the CI/CD pipelines, hardening our AWS and Azure environments, and…
Added 3 hours ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Duration: 12 Months contract with possibility of extension
Added 3 hours ago
1
Applied AI Engineer - Evaluation & Reliability
15Rock
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Applied AI Engineer - Evaluation & ReliabilityThe problem you'd own
Added 3 hours ago
ET
AVP, Lead Software AI Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
Advanced proficiency in Python and TypeScript, with experience across both backend and frontend development.
Added 3 hours ago
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Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
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…
Added 3 hours ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Vancouver, BC
- Full-time
Some experience with programming or scripting, including Bash, Python, YAML, and PowerShell
Added 4 hours ago
N
Software Engineer 2 - Kubernetes Backend and Platform Engineering
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e.…
Added 4 hours ago
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Spécialiste principal(e) en IA appliquée/ Senior AI Engineer
AUDELA
Montreal, QC
- Full-time
Solide maîtrise de Python. Vous savez lire le fonctionnement d'un agent, le modifier et exécuter les tests vous-même.
Added 4 hours ago
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Full-Stack Software Engineer (Toronto)
Ultrassure
Toronto, ON
- Full-time
Experience with TypeScript and React or Next.js, alongside Python and backend API development.
Added 5 hours ago
SC
Senior Environmental or Water Resources Engineer
SRK Consulting
Quebec, QC
- Full-time
We are seeking a bilingual (French/English) Senior Environmental or Water Resources Engineer to work with our surface water team, focused on mine water management, based in Eastern Canada…
Added 5 hours ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Toronto, ON
- Full-time
Some experience with programming or scripting, including Bash, Python, YAML, and PowerShell
Added 7 hours ago
I
AI Platform Engineer
INFOYA
Toronto, ON
- Full-time
Platform Engineer to build and operate production-ready LLM agent systems and
Added 7 hours ago
S
Data & AI Engineer - Real World Data and Healthcare Intelligence
Sanofi
Toronto, ON
- Full-time
Location: Toronto, CA - Hybrid - 3 days per week onsite - required.
Added 9 hours ago
M
Cloud Software Engineer
McAfee
Toronto, ON · UNAVAILABLE, Ontario
- Full-time
Backend Expertise: Strong professional experience as a Backend or Cloud Engineer, with deep expertise in Golang and its toolchain.

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

Apply About employer

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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