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Added 11 mins ago
AS
Site Reliability Engineer
Ardent SoftSol Inc.
Calgary, AB
- Contract
This is an active and ongoing hiring requirement for a SRE Engineer, We are specifically looking for Developers or Core SRE Application Support professionals. This position is based in…
Added 12 mins ago
Security Technology Analyst
University of Toronto
Toronto, ON
Proficiency in at least one scripting or automation language, such as Python, PowerShell, shell scripting
Added 26 mins ago
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- Full-time
Our stack is React and TypeScript on the front end, Java and Python services behind it, and an agent layer built on durable, fault-tolerant workflows that reason over scientific data…
Added 26 mins ago
XA
Snowflake Data Engineer
xCroTek AI
Open Hall, NL
- Full-time
Proficiency in Python or other scripting languages for data engineering and automation.
Added 26 mins ago
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SRE Engineer
Yochana
Calgary, AB
- Full-time
The Wealth Management Production Management Site Reliability Engineer position is a highly visible/critical role, which will be a team member of technical SMEs managing the stability and…
Added 27 mins ago
QA Automation Engineer – SmartBear & Playwright
Capco
Toronto, ON
Capco is looking for a QA Automation Engineer with hands-on experience in SmartBear TestComplete and Playwright to support a major application modernization initiative.
Added 41 mins ago
MP
Lead Data Engineer
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Pickering, ON
- Full-time
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Added 41 mins ago
AS
Cloud DevOps Engineer
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a skilled Cloud DevOps Engineer to join a high-performing engineering team responsible for building, scaling, and maintaining modern cloud infrastructure supporting…
Added 56 mins ago
Sr Associate Platform Engineer
Scotiabank
Toronto, ON
Added 56 mins ago
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Stagiaire en automatisation de l’assurance qualité (AQ) / QA Automation Engineer Intern - Hiver /Winter 2027
McKesson
Montreal, QC
- Full-time
Quality Assurance (QA) Automation Engineer Intern
Added 1 hour ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 1 hour ago
Bilingual Senior Specialist, Software Engineering (Environment Management)
CMHC - SCHL
Ottawa, ON · Montreal, QC
…with platform, security, and application teams, you’ll build automation that allows environment provision, patching, data refreshes, compliance self-service, scalability, and security. This…
Added 1 hour 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 1 hour ago
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Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
The Front Office Quant Engineer will serve as a force multiplier for the trading and sales desks, leveraging technology, automation, quantitative analysis, and AI-driven solutions to enable…
Added 1 hour ago
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Kubernetes (K8s) / HPC Engineer
Axiom Global Technologies
Canada
- Contract
Administer Linux-based systems and develop automation scripts using Python and Bash.
Added 1 hour ago
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Infrastructure Engineer – Network, Security & IoT/OT
PineQ Lab Technology
Montreal, QC
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Develop and maintain automation scripts using PowerShell, Python, Perl, or Shell to streamline operations.
Added 1 hour ago
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IAM (SailPoint) Software Engineer
Teamrecruiter.com
Ottawa, ON
- Contract
We are seeking an experienced IAM Software Engineer to design, develop, implement, and support secure Identity and Access Management (IAM) solutions across the organization. The successful…
Added 1 hour ago
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Data Engineer
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Montreal, QC
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Added 2 hours ago
Staff Product Security Engineer, Reviews
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The Staff Product Security Engineer Opportunity
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Spécialiste en intégration de systèmes, IA souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
Reporting to the Senior Director of Engineering, you will build and maintain deployment packages and automation for the stack. They will enable partners to deploy, upgrade, and roll back…
Added 2 hours ago
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Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications – Python
Added 2 hours ago
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Database Administrator
LCBO
Toronto, ON
- Full-time
Experience with automation or scripting tools such as PowerShell, Python, Bash, Ansible, Terraform, or Jenkins.
Added 2 hours ago
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2027 Winter Co-op Vehicle Experience Software Developer
General Motors
Markham, ON
- Full-time
Our vehicle communication team is hiring a software engineer to design and develop software in our Linux-based connectivity system. You'll be part of a team working to ship the world's most…
Added 2 hours ago
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Senior L3 AI Engineer
Apptoza Inc.
Montreal, QC
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Strong scripting and automation skills (e.g. Python, PowerShell, Microsoft Graph API) and familiarity with CI/CD concepts.
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Lead SDET
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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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