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Added 1 min ago
Sr Associate Platform Engineer
Scotiabank
Toronto, ON
Contributes to the overall success of the Senior Associate Cloud Platform Engineering function by ensuring long‑term technical vision and roadmap is defined and maintained, focusing on…
Added 17 mins ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
Experience with a major cloud platform (Azure preferred; Azure OpenAI a plus)
Added 32 mins ago
Bilingual Senior Specialist, Software Engineering (Environment Management)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join the Platform Engineering team, in the Senior Specialist, Software Engineering & Environment Management position, where we’re modernizing how CMHC builds and operates software…
Added 32 mins ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 46 mins ago
AG
Kubernetes (K8s) / HPC Engineer
Axiom Global Technologies
Canada
- Contract
Deploy and manage cloud-native infrastructure on platforms such as Azure AKS, AWS EKS, and Google Kubernetes Engine (GKE).
Added 46 mins ago
PL
Infrastructure Engineer – Network, Security & IoT/OT
PineQ Lab Technology
Montreal, QC
- Contract
Cloud (AWS, Azure, GCP vulnerability posture)
Added 1 hour ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Cloud & Microservices: Hands-on experience building, migrating, or transforming legacy systems to public or private cloud environments (AWS, Azure, GCP) using RESTful microservices and…
Added 1 hour ago
M
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 1 hour ago
L
Database Administrator
LCBO
Toronto, ON
- Full-time
Exposure to cloud database services such as Azure SQL, Amazon Web Services RDS, Google Cloud SQL, or similar managed database platforms.
Added 2 hours ago
E
Azure Cloud Engineer
ELITS
Remote, Canada
- Full-time
- Remote
ELITS Canada is looking for an experienced Azure Cloud Engineer for a remote consulting assignment based in Canada. Candidates must be authorized to work in Canada and able to perform the…
Added 3 hours 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 3 hours ago
SJ
Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
Experience with AWS, GCP, Microsoft Azure, or another cloud service
Added 3 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 8 hours ago
M
AI Engineer
maru.ai
Engineer, BC
- Full-time
Experience with cloud platforms like AWS, GCP or Azure
Added 9 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 13 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
…experiences. By integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, we help organizations realize seamless, innovative, and secure…
Added 15 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Proven experience with public cloud platforms (AWS, Azure, or GCP) and/or hybrid or edge infrastructure
Added 16 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…of a variety of opportunities including AI to Defend and/or cloud and application security initiatives for our clients. You will architect deeply technical solutions, lead cross-functional…
Added 17 hours ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
Cloud-native production experience: containers, Kubernetes, CI/CD, observability. Azure a plus.
Added 18 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
This is a build-and-run engineering role. You will design, implement, and operate significant components of these platform capabilities; writing production code, building integrations, and…
Added 18 hours ago
B
Senior Manager, Data & AI
BDO
Vancouver, BC
- Full-time
Experience with modern Data & AI technologies such as Microsoft Fabric, Azure Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine…
Added 18 hours ago
S
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 18 hours ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Experience with modern Data & AI technologies such as Microsoft Fabric, Azure Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine…
Added 18 hours ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
The Data Fabric team is a cross-functional team at Kinaxis that builds a multi-tenant, multi-cloud data platform on Databricks (GCP & Azure) to connect, govern, secure, and discover data…
Added 18 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
This is a build-and-run engineering role. You will design, implement, and operate significant components of these platform capabilities; writing production code, building integrations, and…

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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