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Added 1 min ago
Director, Network & Security AI and Automation
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Engineer AIOps capabilities that integrate telemetry and service context to improve observability, correlate events, detect anomalies, and support proactive issue detection and response.
Added 1 min ago
TT
Software Development Engineer
Teledyne Technologies Incorporated
Edmonton, AB · Canada - Edmonton, AB
- Full-time
If you enjoy building software that directly impacts manufacturing operations, this is an opportunity to take a senior role in delivering scalable, high-impact solutions. As part of…
Added 30 mins ago
Thermal Jackfish Exploitation Engineer
Canadian Natural
Calgary, AB
Make your mark while you grow your career! As a Thermal Jackfish Exploitation Engineer, you will have the opportunity to work on a top tier SAGD asset. You will be a key player in a dynamic…
Added 45 mins ago
T
Senior Spectrum Engineer
Telesat
Ottawa, ON
- Full-time
Prepare technical and regulatory analyses, coordination correspondence, briefing materials, recommendations, and presentations for internal stakeholders and senior management.
Added 1 hour ago
Senior AI Engineer
Guidepoint
Toronto, ON
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 1 hour ago
KI
Senior FPGA Engineer (Hybrid)
Kardium Inc.
Burnaby, BC
- $100,000 to $150,000 CAD / year
We are looking for a Senior FPGA Engineer to help support the next generation of high-quality medical devices. In this role, you will gain hands-on experience in the development and…
Added 1 hour ago
C
Senior Solutions Engineer
ChapsVision
Montreal, QC
- Full-time
En tant qu’Ingénieur(e) principal(e) en solutions (Senior Solutions Engineer), vous agirez à titre de leader technique principal dans le cadre de nos mandats clients les plus stratégiques…
Added 1 hour ago
Senior Engineering Specialist
The Canada Life Assurance Company
London, ON · Toronto, ON
Are you a Senior Data Platform Engineer professional focused on platform administration, operations and support, have strong Leadership and Communication skills who is looking for a…
Added 2 hours ago
Senior FPGA Research Engineer
Barco
Vancouver, BC
…for industrial applications. We are looking for a hands-on senior FPGA engineer to lead the sensor acquisition and aggregation architecture connecting distributed imaging sensors to an…
Added 2 hours ago
Oracle EPM Engineer
Capgemini
Montreal, QC
We are seeking a Senior Oracle EPM engineer with strong PLSQL and Shell Scripting skills. You will manage optimize and scale our Hyperion financial planning and consolidation…
Added 2 hours ago
Software Developer, Data Engineering
Robinhood
Toronto, ON
…optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power…
Added 2 hours ago
L
Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake, and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 3 hours ago
Senior Forward Deployed AI Engineer
Bell
Mississauga, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 4 hours ago
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Technical Specialist, Senior - Vital Software
JR Automation
Toronto, ON
- Full-time
The Senior Software Technical Specialist leads the design, development, integration, and testing of complex operationally critical and safety-critical software systems within the railway…
Added 4 hours ago
JA
Software Analyst
JR Automation
Toronto, ON
- Full-time
…the railway signaling domain. Working under the guidance of a Senior Software Analyst or Technical Specialist, the incumbent develops expertise in one or more subsystem functional areas and…
Added 4 hours ago
SG
Sr. Forward Deployed Engineer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python technology expertise to work directly with our clients in the Spread Products space.
Added 4 hours ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Full-time
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 5 hours ago
GM
Senior Software Developer - CI/CD and Software Development Tools
General Motors
Markham, ON
- Full-time
We are seeking a highly skilled and experienced Senior Software Engineer to join the Continuous Integration/Continuous Deployment (CI/CD) and Embedded Software Development Tools…
Added 5 hours ago
Senior QA Engineer
Konrad
Toronto, ON
As a Senior QA Engineer, you will play a hands-on role in engineering quality into complex digital products across web, mobile, API, and backend systems. You will combine strong software…
Added 5 hours ago
TG
Senior Network Engineer
TMX Group
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Network Engineer with 7+ years of experience to join our dynamic infrastructure team. In this full-time role, you will be an integral…
Added 6 hours ago
SC
Senior Environmental Data Engineer
SLR Consulting
Calgary, AB · Vancouver, BC · Guelph, ON
- Full-time
As our new Senior Environmental Data Engineer, you will play an important role on a team whose work is essential to achieving this goal.
Added 6 hours ago
Senior AI Engineer, IT Solutions 1 1
Celestica International LP
Toronto, ON
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 6 hours ago
SF
Senior Site Reliability Engineer
Safe Fleet
Coquitlam, BC
- Full-time
The Senior Site Reliability Engineer owns reliability, resilience and operational health across SafeFleet’s cloud-native product ecosystem. This is a hands-on engineering role with…
Added 6 hours ago
G
Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Vehicle Systems Engineer to lead complex vehicle…
Added 11 hours ago
M
RQ00831 - DevOPS/Cloud Engineer - Senior
Maarut
Toronto, ON
- Contract
Senior-level AWS cloud engineering and DevOps experience building, operating, and troubleshooting production serverless, containerized, networking, security, and shared platform resources…

Guidepoint

Senior AI Engineer

Toronto, ON, Canada

$175,000 - $210,000 CAD

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Job details

Pay: $175,000 - $210,000 CAD
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

The Senior AI Engineer will design and deploy production-grade multi-agent AI systems and orchestrate complex workflows. They will also manage the full AI pipeline, including evaluation, API development, and cloud-based operations to ensure system reliability and performance.

Requirements

Candidates must have over 8 years of software engineering experience with a proven track record in building production-grade AI or LLM-powered systems. A Bachelor's or Master's degree in a technical field is required, along with strong proficiency in Python and cloud-native deployment.

Skills

Python
Generative AI
LLM
Multi-agent workflows
Kubernetes
Azure
Databricks
API development
Retrieval-augmented generation
Vector databases
System architecture
Cloud-native deployment
CI/CD
Observability
Prompt engineering
Software engineering

Benefits

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Senior AI Engineer
Generative AI
LLM
Multi-agent
Python
Kubernetes
Azure
Databricks
API
Retrieval-augmented generation
Vector databases
CI/CD
Observability
Cloud-native
Distributed systems
State management
Prompt engineering
LangGraph
LangChain
Machine learning
Software engineering
Data engineering
System architecture
Production readiness
Latency optimization
Reliability engineering
Research platform
Expert network
Compliance
Data access

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