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Added 20 mins ago
AI
Kubernetes Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced Kubernetes (K8S) / HPC Engineer to design, deploy, and manage scalable compute platforms supporting AI/ML, simulation, and data-intensive workloads.
Added 36 mins ago
AI
Manufacturing Engineer
Apex Industries Inc.
Moncton, NB
- Full-time
The Manufacturing Engineer will play a key role in driving operational excellence, continuous improvement, automation, process development, and technology integration across the Aerospace…
Added 37 mins ago
AI
Manufacturing Engineer
Apex Industries
Moncton, NB
- Full-time
The Manufacturing Engineer will play a key role in driving operational excellence, continuous improvement, automation, process development, and technology integration across the Aerospace…
Added 1 hour ago
WL
Market Manager - Data Center & Energy
Weidmuller Ltd
Markham, ON
- $140,000 to $160,000 CAD / year
- Full-time
Position: Market Manager - Data Center & Energy
Added 1 hour ago
T
Associate – Front Office Quant Engineer
TD
Toronto, ON
- Full-time
The Quantitative Engineering and Development (QED) team is a front-office quantitative technology and analytics group within TD Securities that supports the Global Equity Derivatives…
Added 1 hour ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for an experienced Hands-on Sr. Platform Engineer that will work on innovative and transformational initiatives at TD Securities -- the implementation of the next generation…
Added 2 hours ago
GM
Senior Software Engineering - Protocol Operations & Trust
General Motors
Markham, ON
- Full-time
…AV Simulation organization. We build and operate workflows, automation, tooling, and data products that make simulation testing scalable, reliable, and…
Added 2 hours ago
Full Stack Engineer, Central Processing and Management Information (CPMI)
HSBC Global Services Limited
Toronto, ON
Join the Central Processing and Management Information (CPMI) technology team in Toronto as a Software Engineer focused on full stack development across JavaScript, Node.js, and modern…
Added 2 hours ago
N
Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Senior Cloud Systems Engineer to lead the design, automation, and operation of enterprise cloud platforms across AWS and Azure. This role combines deep expertise in…
Added 2 hours ago
N
Enterprise Cloud & Platform Engineer
Numeris
Toronto, ON
- Full-time
The Enterprise Cloud & Platform Engineer is responsible for the design, implementation, administration, continuous improvement, security, and operation of enterprise cloud, network,…
Added 2 hours ago
SD
Full Stack AI Engineer
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
We are seeking a Full Stack AI Engineer with demonstrated
Added 3 hours ago
XA
Snowflake Data Engineer
xCroTek AI
Open Hall, NL
- Full-time
We are seeking a talented Snowflake Data Engineer with 1–5 years of experience in building and managing modern data pipelines. The ideal candidate should have strong expertise in Snowpipe,…
Added 3 hours ago
MP
Lead Data Engineer
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Experience designing and developing scalable data pipelines, integration frameworks and cloud-native data solutions supporting operational reporting, analytics and AI initiatives
Added 3 hours ago
Sr Associate Platform Engineer
Scotiabank
Toronto, ON
Added 3 hours ago
M
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 3 hours ago
M
Stagiaire en automatisation de l'assurance qualité / QA Automation Intern - Hiver/Winter 2027
McKesson
Montreal, QC
- Full-time
Are you passionate about software quality, automation, and emerging AI technologies? As a QA Automation Engineer Intern, you'll gain hands-on experience building automated tests for web and…
Added 3 hours 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 4 hours 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 4 hours 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 4 hours ago
Software Development Engineer II, S3 Shard Store
Amazon
Vancouver, BC
…99.999999999% (you didn’t read that wrong, that’s 11 nines!) of data durability. Amazon S3 powers businesses, nonprofits, and transformative organizations across the globe that make the…
Added 4 hours ago
D
Lead AI .Net Developer
Digitive
Canada
- Contract
…serve as the ground-level technical partner to our Lead AI Engineer. While the Lead AI Engineer establishes the architectural vision and transformation roadmap, you will be the core builder…
Added 4 hours ago
TS
Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
The Quantitative Engineering and Development (QED) team is a front-office quantitative technology and analytics group within TD Securities that supports the Global Equity Derivatives…
Added 4 hours ago
AG
Kubernetes (K8s) / HPC Engineer
Axiom Global Technologies
Canada
- Contract
We are seeking an experienced Kubernetes (K8s) / High-Performance Computing (HPC) Engineer to design, deploy, optimize, and manage scalable compute platforms supporting AI/ML, engineering…
Added 4 hours ago
CA
Data Engineer
Compass, a Kicksaw Company
Montreal, QC
- Full-time
Compass Analytics is excited to recruit a talented and driven Data Engineer to join our growing Analytics Delivery team. The ideal candidate will have a passion for building data solutions,…
Added 4 hours ago
M-
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…

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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