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Added 13 mins ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…applications, including Large Language Models (LLMs), AI agents, agent-based workflows, document processing solutions, and human-in-the-loop review and approval…
Added 13 mins ago
SM
Software Developer – CRM – Senior - RQ11653
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Dynamics CRM Customer Service Workspace, Agent Experience Profile, Session Templates, Workstream, and Routing
Added 13 mins ago
SM
Software Developer – CRM – Senior - RQ11653
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Dynamics CRM Customer Service Workspace, Agent Experience Profile, Session Templates, Workstream, and Routing
Added 13 mins ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…applications, including Large Language Models (LLMs), AI agents, agent-based workflows, document processing solutions, and human-in-the-loop review and approval…
Added 13 mins ago
SM
Software Developer – CRM – Senior - RQ11654
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Dynamics CRM Customer Service Workspace, Agent Experience Profile, Session Templates, Workstream, and Routing.
Added 13 mins ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…applications, including Large Language Models (LLMs), AI agents, agent-based workflows, document processing solutions, and human-in-the-loop review and approval…
Added 13 mins ago
SM
Software Developer – CRM – Senior - RQ11654
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Dynamics CRM Customer Service Workspace, Agent Experience Profile, Session Templates, Workstream, and Routing.
Added 13 mins ago
SM
Software Developer – CRM – Senior - RQ11653
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Dynamics CRM Customer Service Workspace, Agent Experience Profile, Session Templates, Workstream, and Routing
Added 13 mins ago
SM
Software Developer – CRM – Senior - RQ11654
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Dynamics CRM Customer Service Workspace, Agent Experience Profile, Session Templates, Workstream, and Routing.
Added 28 mins ago
J
Customer Operations & Support
Junip
Remote, Canada
- Full-time
- Remote
…done and a lot of operations (email campaigns, our AI support agent, documentation) that can be created/improved upon. This is an individual contributor role working with our…
Added 42 mins ago
EG
Senior Programmer, AI and Creation Tools
Epic Games
Vancouver, BC · Greater Vancouver, BC
- Full-time
Create new tools at the intersection of user-driven and agent-driven content creation
Added 1 hour ago
J
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step…
Added 1 hour ago
S
AI-Native Mobile QA Engineer
Snaplii
Toronto, ON · Etobicoke, ON
- $60,000 to $90,000 CAD / year
- Full-time
You write clearly, and you can explain the same bug to an engineer and to a support agent.
Added 1 hour ago
U
Gateway Int'l Ramp Agent
UPS
Calgary, AB
- Full-time
Added 1 hour ago
U
Gateway Int'l Ramp Agent
UPS
Calgary, AB
- Full-time
Added 1 hour ago
Letter Carrier - Delivery Agent
Canada Post - Postes Canada
Halifax, NS
Business Function: Delivery Agent or Letter Carrier
Added 1 hour ago
Letter Carrier - Delivery Agent
Canada Post - Postes Canada
Dartmouth, NS
Business Function: Delivery Agent or Letter Carrier
Added 1 hour ago
J
Data Scientist, Early Career (Canada)
Jobright.ai
Canada
- Full-time
Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability
Added 1 hour ago
J
Data Scientist, Product Analytics - Entry Level
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step…
Added 1 hour ago
U
Gateway Int'l Ramp Agent
UPS
Calgary, AB
- Full-time
Added 1 hour ago
B
Material Logistics Agent
Bombardier
Dorval, QC
- Full-time
Added 1 hour ago
B
Material Logistics Agent
Bombardier
Dorval, QC
- Full-time
Added 2 hours ago
J
Python Engineer, New Grad
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step…
Added 2 hours ago
BC
AI Architect
BrainRidge Consulting
Toronto, ON
- Full-time
â - Design enterprise AI platforms and reusable capabilities, including model gateways and catalogs, agent runtimes and registries, RAG and enterprise knowledge services, prompt and tool…
Added 2 hours ago
A
Regional Service Agent
Allstate
Thunder Bay, ON
- Full-time
Our team is growing, and we are actively looking to hire Regional Service Agent! Reporting to the Manager, Regional Service, you will be responsible to answer service and billing inquiries…

Guidepoint

Senior AI Engineer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Overview:

Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale - combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets.

You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership.

This role is hybrid in our Toronto Office

What You'll Do:

Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure.
LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code - not just prompts.
Multi-channel session management: stateful user interactions that move seamlessly across channels.
Retrieval and grounding: connecting LLM systems to large internal knowledge assets, with structured data flowing back.
Evaluation infrastructure: measuring conversational quality against human baselines and gating rollouts on metrics, not vibes.
Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads.
Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors.
Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases on them.
Integrate third-party AI and voice vendors behind clean abstractions so providers stay swappable.
Partner with product and compliance stakeholders to encode domain rules into the system.
Set engineering patterns for a growing team: code review, observability, incident habits.

What You Have:

6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestration, RAG/grounding, structured outputs, eval-driven iteration.
Strong TypeScript or Python; comfortable working across both.
Real-time or streaming systems experience: WebSockets, WebRTC, audio pipelines, or comparable low-latency work.
Cloud-native production experience: containers, Kubernetes, CI/CD, observability. Azure a plus.
Familiarity with agent/LLM frameworks such as LangGraph, LangChain, or CrewAI - hands-on exposure is enough; we care that you know the landscape and when plain code beats a framework.
Working familiarity with vector databases and embedding-based retrieval.
Pragmatic product judgment: you scope prototypes, kill weak approaches with data, and ship.

Nice-to-have:

Voice AI: telephony platforms, conversational agent frameworks, STT/TTS, turn-taking/VAD.
Knowledge graphs or large-scale search/retrieval systems.
Regulated or compliance-sensitive domains (healthcare, finance).
Eval harnesses or LLM-as-judge systems.

What We Offer:

The annual base salary range for this position is 175,000-210,000 CAD. 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

Build and operate production conversational AI systems spanning real-time voice and chat, LLM orchestration, multi-channel sessions, and retrieval over proprietary data. Own services from design through deployment and operations, establish evaluation and release-gating practices, integrate AI and voice vendors, and set engineering patterns in partnership with product and compliance teams.

Requirements

Requires 6+ years of software engineering experience, including 2+ years building production LLM-powered products, and strong TypeScript or Python skills. Candidates should have experience with real-time or streaming systems, cloud-native production environments, retrieval and vector databases, and practical LLM evaluation; Azure and voice AI experience are advantageous.

Skills

TypeScript
Python
LLM Orchestration
Retrieval-Augmented Generation
Real-Time Systems
WebSockets
WebRTC
Kubernetes
Azure
Cloud-Native Development
Vector Databases
Embedding-Based Retrieval
Evaluation Infrastructure
Structured Outputs
Voice AI
Observability

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Conversational AI
Real-Time Voice
Chat Agents
LLM Orchestration
Agentic Systems
Multi-Turn Conversations
Retrieval-Augmented Generation
Knowledge Retrieval
Structured Data
Evaluation Infrastructure
TypeScript
Python
WebSockets
WebRTC
Audio Pipelines
Kubernetes
Azure
Containers
CI/CD
Observability
LangGraph
LangChain
CrewAI
Vector Databases
Embeddings
Telephony
Speech-to-Text
Text-to-Speech

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