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Added 13 mins ago
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UX Content Designer-Banking
BeachHead
Toronto, ON
- $76.7 to $92.04 CAD / hour
- Contract
Participate across all product development phases, including ideation, user research, planning, and post-launch evaluation
Added 43 mins ago
M
Business Analyst, Hyper Velocity Engineering
MNP
Ottawa, ON · Toronto, ON · Vancouver, BC
- Full-time
…innovative digital solutions. Leveraging modern AI-enabled tools and delivery methodologies, you will help accelerate analysis activities, improve documentation quality, and reduce time…
Added 43 mins ago
M
Business Analyst, Hyper Velocity Engineering
MNP
AB · Calgary, AB
- Full-time
…innovative digital solutions. Leveraging modern AI-enabled tools and delivery methodologies, you will help accelerate analysis activities, improve documentation quality, and reduce time…
Added 43 mins ago
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Senior Greenfield Full Stack Developer (Builder)
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
- Full-time
We're looking for an Senior Greenfield Full Stack Developer (Builder) who will help support the end-to-end software delivery. This is first and foremost grounded in Software Developers who…
Added 43 mins ago
Staff Scientist (AI for Self-Driving Labs)
University of Toronto
Toronto, ON
SDL0 - A central AI and automation lab to advance the robotics and AI tools used in SDLs
Added 1 hour ago
BS
Intermediate Mechanical Engineer
Ball Service Group Inc.
Kitchener, ON
- Full-time
…engineers, and clinical experts to bring advanced diagnostic tools from concept through…
Added 1 hour ago
NS
Senior Applied AI Engineer
Network Solutions
Canada
- Full-time
…virtual threats. Our team leverages modern, AI-accelerated tools to streamline how businesses manage their digital presence, making the most of our decades of…
Added 3 hours ago
A
Payroll & Rewards Operations Lead
APPLY
Toronto, ON
- Full-time
Manage the day-to-day relationship with Deel, holding the vendor accountable for product enhancements and support levels.
Added 3 hours ago
F
Director, Technical Support - Cybersecurity
Fortra
Canada
- Full-time
You will lead and develop a high-performing global team while partnering closely with Product, Engineering, Professional Services, Customer Success, and Managed Services to resolve complex…
Added 4 hours ago
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Director, Engineering
NielsenIQ
Toronto, ON
- $150,000 to $176,000 CAD / year
- Full-time
Apply GenAI tools and AI-assisted engineering practices across the SDLC to improve developer productivity, code and test quality, documentation, and modernization throughput.
Added 5 hours ago
A
Database Platform Engineer
AppDirect
Montreal, QC
- Full-time
…performance and scalability. We enable self-serve access and automation, lead large-scale database migrations driven by company growth and acquisitions, and partner closely with Cloud…
Added 5 hours ago
J
Data Analyst, Business Intelligence - Entry Level
Jobright.ai
Canada
- Full-time
Work at the intersection of AI, agents, and product
Added 6 hours ago
OT
Lead Automation Architect
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
As a Lead Automation Architect, you will establish the technical foundation of this initiative designing architectures, frameworks, and reusable patterns that empower teams to build…
Added 7 hours ago
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Software QA Engineer
maru.ai
Engineer, BC
- Full-time
Collaborate with engineering and product teams to understand requirements for new features and products
Added 7 hours ago
RR
Hardware Test Engineer
Remote Robotic
Ottawa, ON · Kanata, ON
- $82,000 to $100,000 CAD / year
- Full-time
…Team members have the opportunity to contribute directly to product decisions and see their work move quickly from concept to…
Added 7 hours ago
NC
Lifecycle & Marketing Automation Specialist
Newfoundland Capital Corporation Limited
Montreal, QC
- Full-time
…strategy to execution. You’ll work closely with Marketing, Data, Product, and IT to develop scalable lifecycle programs, improve our marketing technology ecosystem, and identify meaningful…
Added 9 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 10 hours ago
TI
Digital Marketing & Automation Manager - Bravo Insurance Services Ltd.
The InsureBC Group
Vancouver, BC
- Full-time
We are looking for a hands-on,forward-thinking Digital Marketing & Automation Manager to step into anestablished role and take it to the next level. This is not a greenfieldposition - we…
Added 10 hours ago
PC
Strategic Segment & Customer Marketing Manager
Phoenix Contact Ltd
Milton, ON
- Full-time
Utilize marketing automation, CRM tools, digital channels, and analytics to maximize campaign performance.
Added 10 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 10 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 10 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 10 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 11 hours ago
DR
Vice President, Operations
DMC Recruitment Group
Steinbach, MB
- Full-time
The right product needs to be available. Orders need to be accurate. Trucks need to leave on time. Customers need to receive what was promised. And the people responsible for making all of…
Added 11 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…

Network Solutions

Senior Applied AI Engineer

Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

Original job description

At Network Solutions, we’ve been trusted for decades to help people get online and stay ahead. We’ve been here since the beginning of the internet, and we’re still building for what comes next.

As the original digital identity authority, we help secure domain names, protect brands, and safeguard the infrastructure businesses rely on. We empower our customers to own and manage the assets that define them online, while delivering enterprise-grade security to protect against virtual threats. Our team leverages modern, AI-accelerated tools to streamline how businesses manage their digital presence, making the most of our decades of experience.

The Network Solutions team is here to help online businesses protect what’s theirs and build for tomorrow. That’s why millions trust us to protect their domains, brands, and websites every day.

Senior Applied AI Engineer

The impact you’ll make

We are looking for a hands on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation.

You will take ambiguous customer and product problems, evaluate different approaches, and independently turn the strongest solution into reliable, secure, observable, and cost efficient production systems. This is an applied engineering role focused on shipping real AI products.

What you’ll do

Translate loosely defined product problems into practical AI solutions, choosing between LLMs, RAG, tool calling, agents, deterministic workflows, or traditional software.
Design and build production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools.
Build reliable tool calling agents and multi step workflows that interact with internal APIs, MCP tools, business systems, and knowledge sources.
Design event driven systems using RabbitMQ, Kafka, Azure Service Bus, or equivalent platforms, including retries, dead letter handling, idempotency, back pressure, and failure recovery.
Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations.
Experiment with models from OpenAI, Anthropic, Google, xAI, and open weight ecosystems, selecting the right model for quality, latency, reliability, and cost.
Create AI evaluation pipelines using curated datasets, regression tests, retrieval metrics, LLM as judge techniques, groundedness checks, and tool execution evaluation.
Diagnose hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs.
Operate as an AI powered engineer using Cursor, Claude Code, OpenAI Codex, or equivalent coding agents to accelerate design, implementation, testing, debugging, and refactoring.

What we’re looking for

5 or more years of professional software engineering experience building production backend, distributed, or cloud based systems.
Hands on experience building Applied AI, LLM, RAG, NLP, or agent based applications, with meaningful production exposure.
Advanced Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development.
Strong backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging.
Production experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures.
Hands on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows.
Experience building at least one RAG or knowledge grounded system with measurable quality and latency outcomes.
Strong PostgreSQL and data modeling skills, with experience using Redis, pgvector, vector databases, or hybrid search technologies.
Demonstrated use of AI coding agents such as Cursor, Claude Code, Codex, or equivalent tools as a core part of daily software engineering.

Applied AI engineering knowledge

You should be comfortable going beyond a working demo and understand how modern AI systems behave, fail, and scale in production.

Strong understanding of prompting, structured outputs, tool schemas, context management, model routing, retries, fallbacks, rate limits, and streaming responses.
Ability to design experiments and evaluations that compare approaches using measurable outcomes rather than subjective testing alone.
Understanding of retrieval quality, grounding, hallucination mitigation, prompt injection risks, tool authorization, and practical agent guardrails.
Experience with Docker, CI/CD, automated testing, observability, distributed tracing, OpenTelemetry, Langfuse, or similar tooling.

How you’ll work

You will often start with an ambiguous customer or product goal rather than a detailed implementation plan. You should be able to independently break the problem down, validate assumptions, choose an approach, and drive the solution through production.

Turn product goals into testable technical hypotheses and rapidly prototype alternatives when needed.
Choose the simplest architecture that solves the problem well rather than using an agent or LLM by default.
Define quality, latency, reliability, safety, and cost targets and measure production performance against them.
Own implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support.
Use AI coding agents aggressively to increase engineering velocity while preserving architecture quality, testing discipline, security, and maintainability.

What will make you stand out

Experience with Semantic Kernel, Microsoft Agent Framework, LangGraph, PydanticAI, or equivalent agent frameworks.
Experience building or consuming Model Context Protocol tools and servers, or working with model gateways such as LiteLLM.
Experience with Azure AI Search, pgvector, Chroma, Kubernetes, Azure, OCI, or similar production AI platform technologies.
Experience building high scale customer facing AI products, open weight model inference, AI safety controls, or automated agent evaluation systems.

Strong problem solving, excellent engineering judgment, and the ability to independently move from ambiguity to a production quality solution are the foundation for this role.

#NetworkSolutions

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More about this job

Responsibilities

Build and operate production AI products and services, including conversational agents, RAG systems, tool-calling workflows, and intelligent automation. Independently turn ambiguous product needs into secure, reliable, observable, and cost-efficient solutions, and evaluate their quality and performance in production.

Requirements

Requires at least five years of professional software engineering experience, hands-on production experience with applied AI or LLM applications, and advanced Python backend development skills. Candidates should also have experience with distributed systems and messaging, LLM integrations and RAG, PostgreSQL and related data technologies, AI coding agents, and production testing and observability.

Skills

Python
FastAPI
Asynchronous Programming
Distributed Systems
PostgreSQL
Redis
RabbitMQ
Kafka
Azure Service Bus
Large Language Models
Retrieval-Augmented Generation
Agent Workflows
AI Evaluation
Docker
CI/CD
Observability

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Pydantic
SQLAlchemy
SQLModel
PostgreSQL
Redis
RabbitMQ
Kafka
Azure Service Bus
OpenAI
Anthropic
Google
xAI
Large Language Models
Retrieval-Augmented Generation
Vector Databases
pgvector
Hybrid Search
Tool Calling
Model Context Protocol
Docker
CI/CD
OpenTelemetry
Langfuse
Cursor
Claude Code
OpenAI Codex
Kubernetes
Azure AI Search

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