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Added 10 mins ago
BI
Release Manager - 7 Days to Die | Responsable du Déploiement - 7 Days to Die
Behaviour Interactive
Montreal, QC
- Full-time
…external first-party partners, you’ll anticipate risks, navigate platform requirements, and help build reliable release processes for a game that continues to…
Added 10 mins ago
EC
Développeur(euse) QA / QA Developer
Eaton Corporation
Brossard, QC
- Full-time
Join Eaton's multidisciplinary development team as a QA Developer to test and validate the next generation of the Advanced Distribution Planning System. This hybrid role based in Brossard,…
Added 22 mins ago
CB
Outside Sales Representative
Cornerstone Building Brands
St. John's, NL · Greater St. John's Metropolitan Area
- Full-time
Added 23 mins ago
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Research Technician III
CancerCare Manitoba
Winnipeg, MB
- Full-time
The platform boasts a Cytek Aurora, BD FACSMelody, NovoCyte, and our newest instrument, Cytek Aurora CS. The technician will be doing a wide variety of flow cytometry and fluorescence-based…
Added 25 mins ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
…from legacy or decommissioned sources to EDC’s Enterprise Data Platform and Microsoft Fabric environment. The successful candidate will also develop and improve data applications, reports,…
Added 25 mins ago
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Sr. Financial Analyst
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Added 25 mins ago
Gestionnaire des services TI / IT Service Manager
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Added 25 mins ago
Bilingual Manager, Software Engineering
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Toronto, ON · Ottawa, ON · Montreal, QC
…technical excellence. Reporting to the Senior Manager of the CRM Platform team, you will be responsible for delivering IT application and development services, while advancing software…
Added 25 mins ago
Bilingual Advisor, Software Engineering
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
Guide and influence multi‑stream initiatives spanning Microsoft Dynamics 365, Power Platform, Azure integrations, and data migration efforts for multiple business lines.
Added 38 mins ago
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Sr Principal Developer
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Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
AspenTech is looking for a talented and energetic Developer to join the Enterprise Operations Platform (EOP) organization. In this position, you will be a member of an Agile development…
Added 38 mins ago
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Power Platform -Developer
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ON · Ontario, Canada
- Full-time
We are seeking a Power Platform Developer to join – Capital Markets on a 6-month contract. The successful candidate will build and scale workflow automations using Power Platform, Jira,…
Added 40 mins ago
KI
Co-op/Intern Human Resources
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Ottawa, ON
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Added 40 mins ago
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Added 51 mins ago
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Analyst, Business Systems
Canada Infrastructure Bank/ Banque de l'infrastructure du Canada
Toronto, ON
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Certification in Microsoft Dynamics 365 and/or Power Platform (e.g., PL-200, MB-210, PL-400), an asset
Added 51 mins ago
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Architect - Azure/Terraform- Cloud Platform Engineer
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We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added 51 mins ago
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Artificial Intelligence Engineer
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Added 51 mins ago
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Added 53 mins ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $65,172 to $86,898 CAD / year
- Full-time
…from legacy or decommissioned sources to EDC's Enterprise Data Platform and Microsoft Fabric environment. The successful candidate will also develop and improve data applications, reports,…
Added 53 mins ago
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…updating core teams, and handling change orders, while providing platform support to…
Added 53 mins ago
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Senior Specialist, IT Operations (Service Management)
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Added 54 mins ago
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Added 54 mins ago
Bilingual Project Manager - (Montreal Remote)
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“PBS is the fastest growing “All Inclusive Business Platform” vendor in North America and we’ve only just begun!”
Added 54 mins ago
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HR and Payroll Administrator
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Experience with Payworks or a similar payroll platform.

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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