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Added 10 mins ago
Principal Research Scientist
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 26 mins ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Jobright is a rapidly growing AI job search platform in the U.S. that is dedicated to transforming the job search experience. They are seeking an entry-level AI Engineer to build and refine…
Added 26 mins ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 26 mins ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 26 mins ago
Senior DevOps Engineer – HPC / EDA / SLURM- #26-24242
US Tech Solutions
Vancouver, BC
$55 to $60 USD / hour
Contract
Client is seeking a Senior DevOps Engineer supporting our High Performance Computing (HPC) and Electronic Design Automation (EDA) infrastructure team. This role will work directly within…
Added 41 mins ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Make the platform boringly reliable - fewer failures, faster recovery, and none of the manual steps that quietly cost a team days.
Added 41 mins ago
Software Development Engineer in Test
Magnet Forensics
Canada
Full-time
We are looking for a Software Development Engineer in Test to help build and sustain high-quality software through strong test design, automation, and collaboration with engineering…
Added 55 mins ago
Platform Engineer
SPECTRAFORCE
Toronto, ON
$100 to $110 CAD / hour
Contract
We are seeking an experienced Platform Engineer to support a global transaction banking platform within a large financial services environment. This role will focus on platform engineering,…
Added 1 hour ago
AI Engineer
Triunity Software
St. John's, NL
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the forefront of artificial…
Added 1 hour ago
AI Engineer
Triunity Software
Fredericton, NB
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 hour ago
AI Engineer
Triunity Software
Winnipeg, MB
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 hour ago
Transportation Designer
Dillon Consulting Limited
Ottawa, ON · Hamilton, ON · Guelph, ON · Kingston, ON · London, ON · Toronto, ON · Windsor, ON · Oakville, ON · Chatham-Kent, ON · Chatham, ON
Full-time
Licensed to practice as an engineer-in-training in the province of Ontario, or eligible to be licensed within six months or registered as a civil engineering technologist in the province of…
Added 1 hour ago
Transportation Engineer
Dillon Consulting Limited
Ottawa, ON · Hamilton, ON · Guelph, ON · London, ON · Windsor, ON · Oakville, ON · Kitchener, ON · Chatham-Kent, ON · Chatham, ON
Full-time
We are seeking a Transportation Engineer to join our Transportation Infrastructure team in a full-time, position based at any of our Ontario offices. Reporting to the Discipline Lead, you…
Added 1 hour ago
AI Engineer
Triunity Software
Ottawa, ON · Ontario, ON
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and passionate AI Engineer to join our growing team in Ontario, ON. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 hour ago
AI Engineer
Triunity Software
Quebec, QC
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and passionate AI Engineer to join our growing team in Quebec, QC. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 hour ago
AI Engineer
Triunity Software
AB · Edmonton, AB
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Edmonton, AB. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 hour ago
AI Engineer
Triunity Software
Victoria, BC
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Victoria, BC. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 hour ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
…incubation lab and architecture and delivery for a global telemetry…
Added 1 hour ago
Digital Architect (GOAPRDJP00000987) – 5 Resources
Amyantek
Canada
Contract
8 years experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to…
Added 1 hour ago
Senior Software Engineer, Fullstack
Okta
Toronto, ON
$136,000 to $187,000 CAD / year
Full-time
We are looking for a software engineer to join our fast-growing team with a focus on scalability, reliability, and enhancing the core building blocks of the product.
Added 1 hour ago
Senior Software Engineer – DevTest / QA Automation
EngRadar
Toronto, ON
Full-time
…and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and…
Added 1 hour ago
Backend Engineer, AI | Growth
Deel
Canada
Full-time
Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today,…
Added 1 hour ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models…
Added 1 hour ago
Senior Software Engineer (Full Stack)
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 1 hour ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD…

EPITEC

Systems Engineer - End-to-End Software Diagnostics & Observability

Ottawa, ON, Canada

Job type: Contract
Apply by: Oct 24, 2026
Experience: 3 to 6 years of experience in AI/ML engineering, systems engineering, embedded software, cloud engineering, or related technical disciplines.
Posting language: English
Posted: Sep 24, 2026

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Original job description

Location: Ottawa, ON

Work Model: Hybrid (4 days/week onsite)

Employment Type: Contract

Partnered Through: Epitec

Overview

Epitec is seeking a Systems Engineer to support the development of next-generation software diagnostics and observability solutions for connected, intelligent vehicles. This role sits at the intersection of AI/ML, embedded systems, cloud technologies, and systems engineering, helping to build innovative diagnostic capabilities that improve issue detection, root cause analysis, and service outcomes.

This is an excellent opportunity for an early-career engineer with strong AI/ML and software systems experience who is passionate about solving complex technical challenges in a collaborative, fast-paced environment.

Key Responsibilities

Define and refine system requirements, interfaces, and workflows for diagnostic and observability platforms.
Support the development of AI-enabled diagnostic solutions that improve issue detection, troubleshooting, and guided repair processes.
Collaborate across embedded software, cloud, data, and AI/ML teams to integrate intelligent diagnostic capabilities.
Translate business, service, and engineering needs into technical requirements and functional specifications.
Support AI-driven features including knowledge retrieval, diagnostic reasoning, decision support, orchestration, and validation workflows.
Define requirements for diagnostic evidence collection, including logs, traces, fault codes, telemetry, and system events.
Participate in system integration, issue triage, root cause analysis, and cross-functional problem solving.
Help establish observability requirements, including metrics, dashboards, alerts, and escalation workflows.
Evaluate AI system performance for accuracy, traceability, and effectiveness using diagnostic and service data.
Communicate technical recommendations, risks, and tradeoffs to stakeholders and leadership.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related field.
3 to 6 years of experience in AI/ML engineering, systems engineering, embedded software, cloud engineering, or related technical disciplines.
Strong proficiency in Python.
Knowledge of machine learning, large language models (LLMs), inference systems, model evaluation, and data pipelines.
Familiarity with retrieval-augmented generation (RAG), embeddings, ranking systems, prompt-based AI solutions, or reasoning pipelines.
Understanding of software engineering fundamentals, APIs, Git-based development, and containerized applications.
Ability to gather requirements, analyze business needs, and translate them into functional specifications.
Strong written and verbal communication skills.
Experience building or prototyping AI-enabled systems through work, research, internships, or academic projects.

Preferred Qualifications

Experience with AI/ML frameworks and tools such as PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, or BigQuery.
Experience developing chatbots, copilots, intelligent assistants, search platforms, or decision-support systems.
Familiarity with evaluation methodologies for AI grounding, explainability, confidence scoring, and governance.
Exposure to embedded software, connected systems, diagnostics, or intelligent support workflows.
Experience with Google Cloud Platform (GCP), Docker, GitHub, CI/CD pipelines, and observability platforms.
Knowledge of Java development.
Experience working with distributed systems, platform integrations, or cloud-native services.
Strong problem-solving abilities, attention to detail, and a collaborative mindset.

Core Skills

Required

Systems Engineering
Systems Architecture
Systems Analysis
Systems Development Life Cycle (SDLC)
Software Systems
Product Management

Preferred

Python
GCP
Java
Artificial Intelligence / Expert Systems

Work Environment

Hybrid schedule requiring onsite presence 4 days per week.
Candidates must be able to work onsite as required from day one.
Collaborative environment working alongside software, cloud, AI/ML, embedded systems, and product teams.

#INDOEM

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More about this job

Responsibilities

Define system requirements, interfaces, and workflows for diagnostic and observability platforms, and support AI-enabled capabilities for issue detection, troubleshooting, and guided repairs. Collaborate across embedded, cloud, data, and AI/ML teams to integrate and evaluate solutions, establish observability requirements, and communicate technical recommendations and risks.

Requirements

Requires a bachelor's or master's degree in a relevant technical field and 3–6 years of experience in AI/ML engineering, systems engineering, embedded software, cloud engineering, or a related discipline. Candidates need strong Python skills, knowledge of machine learning and LLM systems, familiarity with RAG and software engineering fundamentals, and the ability to translate needs into specifications and communicate effectively.

Skills

Systems Engineering
Systems Architecture
Systems Analysis
Python
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Cloud Engineering
Embedded Software
Requirements Analysis
Observability
Root Cause Analysis
Google Cloud Platform
Java

Visa sponsorship

Not detected in the job text

Keywords

Systems Engineering
Systems Architecture
Systems Analysis
Python
Machine Learning
Artificial Intelligence
Large Language Models
Inference Systems
Model Evaluation
Data Pipelines
Retrieval-Augmented Generation
Embeddings
Ranking Systems
Prompt-Based AI
Reasoning Pipelines
APIs
Git
Containerized Applications
PyTorch
TensorFlow
Scikit-Learn
LangChain
Vertex AI
BigQuery
Google Cloud Platform
Docker
GitHub
CI/CD
Observability

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