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Added 2 mins ago
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Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 2 mins ago
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Database Administrator
LCBO
Toronto, ON
- Full-time
…team that strives for operational excellence? Reporting to the Senior Manager, Infrastructure, you will be responsible for the administration, maintenance, security, performance, and…
Added 32 mins ago
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Azure Cloud Security Engineer
ELITS
Remote, Canada
- Full-time
- Remote
ELITS Canada is looking for an experienced Azure Cloud Security Engineer for a remote consulting assignment based in Canada. Candidates must be authorized to work in Canada and able to…
Added 1 hour ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 1 hour ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 1 hour ago
Senior Software Engineer, Data Platform
Okta
Toronto, ON
…significant equity in a company. Okta is about to change the cloud computing landscape…
Added 1 hour ago
NS
Senior Applied AI Engineer
Network Solutions
Canada
- Full-time
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…
Added 1 hour ago
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Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
We’re all-in on the cloud and we’re leaders in the adoption of open source, RESTful APIs, microservices, and containers. We build our own products and release them with a speed and agility…
Added 3 hours ago
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Senior DevOps Engineer, Canada
Crypto.com
Canada
- Full-time
As a Senior Devops Engineer, you will be involved a number of technically challenging problems, oversees design and coding for features. This position will be working very closely in…
Added 3 hours ago
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Senior Security Engineer
PheedLoop
Toronto, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 13 hours ago
BC
Senior DevOps Engineer
BrainRidge Consulting
Toronto, ON
- Full-time
…continue to grow, we are seeking a motivated and experienced Senior DevOps…
Added 14 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
…with managers and other team members to design and implement security solutions (e.g. Cloud/App Security, AI to Defend) for our clients, helping secure their cloud environments and software…
Added 15 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
As a Senior Associate – Cyber Security Forward Deployed you are a multi-faceted technologist. You lean heavily into using AI, are comfortable working in a client’s environment, writing…
Added 16 hours ago
AI
AWS DATA ENGINNER
Apptoza Inc.
Toronto, ON
- Contract
Knowledge of data governance, security, and compliance within cloud environments.
Added 16 hours ago
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MONTREAL [HYBRID] - Storage Administrator
QUANTEAM (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Storage Administrator to work with one of our clients, an international financial institution based in Montreal.
Added 16 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 17 hours ago
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Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 17 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 17 hours ago
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Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 17 hours ago
Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Senior Specialist, Software Engineering (CI/CD & Automation Engineering) position, where you’ll work closely with the Platform…
Added 17 hours ago
SF
Associate Director, Data Engineer
SickKids Foundation
Toronto, ON
- Full-time
Reporting to the Director, Data Science & Engineering, the Associate Director, Data Engineer designs, builds, and operates enterprise-grade data platforms that deliver trusted,…
Added 17 hours ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 17 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 17 hours ago
AI
Senior AWS Data Engineer - 10+yrs
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 10- 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be…
Added 17 hours ago
QT
Identity & Access Management (IAM) Directory Engineer
Q1 Technologies, Inc.
Montreal, QC
- $55 to $60 CAD / hour
- Contract
Experience Level: Mid to Senior Level (5+ Years)

Network Solutions

Senior Applied AI Engineer

Canada

Full-time

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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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