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Added 2 months ago
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, ON
If your background is in Cybersecurity, Computer Science and Engineering, Digital Forensics, Management Information Systems, or Security Information Systems, learn more about CRA!
Added 2 months ago
B
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
Added 3 months ago
RE
Systems Performance Analyst II
Recurrent Energy
Guelph, Ontario
- Full-time
…(level II) to assist in the in-depth analysis of performance data from solar photovoltaic and battery storage plants. This position is at the crossroads of solar energy, engineering, and…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation…
Added 3 months ago
OF
QA Automation Engineer
OTT Financial Group
Toronto, Ontario
- Full-time
We are looking for a QA Automation Engineer to join our engineering team and help ensure the quality, reliability, and stability of our software products. The role includes both manual and…
Added 1 month ago
VS
Senior Reliability/Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
Partner with R&D and Mfg. Engineering to develop contract manufacturing ready and reliable test systems, jigs & fixturing.
Added 1 month ago
D
Full Stack Engineer
Dexian
Toronto, ON
- Contract
Looking for a Full-Stack Developer who can work across frontend, backend, and database layers, with strong JavaScript/HTML/CSS, VBA/Python, and SQL experience. Agile methodology and…
Added 1 month ago
M
Applied AI Engineer
MANNARINO
Montreal, QC
- Full-time
Diploma or degree in Computer Science, Software Engineering, Computer Engineering, Data Science or a related discipline, or equivalent practical experience
Added 1 month ago
EB
Intern - Credit Risk, Winter 2027
EQ Bank
Toronto, ON
- Internship
…is accountable for producing accurate analysis, maintaining data integrity, and adhering to internal risk management and governance…
Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
Build and support data engineering pipelines integrating cloud platforms (Snowflake, OpenShift, AWS) with automation, databases, and workflow orchestration tools (Airflow, Ansible, Stone…
Added 1 month ago
A
Analyste BI senior
AtkinsRéalis
Montreal, QC
- Full-time
Python for data preparation, automation or analytics.
Added 1 month ago
SG
Tech Ops Engineer
Scientific Games
HR Canada
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 6 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
The ideal candidate has 5+ years of experience in applied AI, machine learning, data engineering, computer vision, LLM-based systems, or growth engineering.
Added 6 months ago
H
Senior Software Developer
Hive
Remote, Canada
- $123,600 to $187,900 CAD / year
- Full-time
- Remote
Our Engineering team owns the code that lets our customers do powerful things with our product, simply and intuitively. We care about delivering the right product iterations quickly - we…
Added 6 months ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Vancouver, British Columbia
- $137,300 to $181,890 CAD / year
- Full-time
…possible, unlocking a new era of rapid iteration and insight-driven engineering across the vehicle…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Montreal, Quebec · Greater Montreal Metropolitan Area
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Vancouver, British Columbia
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…
Added 6 months ago
S
Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
- Full-time
Compétences en programmation : maîtrise de langages comme TypeScript/Node, Python ou Java ; à l’aise avec React/Next et les frameworks modernes.
Added 6 months ago
S
MuleSoft Senior Developer- Enterprise
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Job Title: MuleSoft Senior Developer- Enterprise (For Vacant Role)
Added 6 months ago
C
Optimum Adobe Engineer (contract)
Capgemini
Toronto, Ontario
- Contract
…govern 50+ campaigns weekly, ensuring accuracy, compliance with data and contact governance, alignment with creative logic, and robust post-campaign reporting for leadership…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
Experienced in Python-based ML and vision workflows
Added 6 months ago
SC
Intermediate Software Developer
SRC CAN
Ottawa, Ontario
- Full-time
SRC CAN Ltd is seeking an Intermediate Software Developer to contribute to the design, development, and delivery of next-generation EW Operational Support Systems (EWOSS) including…
Added 6 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, Ontario
- $140,000 to $175,000 CAD / year
- Full-time
…automation, APIs, claims management, next-generation reporting, and data exploration…
Added 6 months ago
K
Software Engineer, AI
Klue
Toronto, Ontario
- $92,000 to $119,000 CAD / year
- Full-time
We're looking for a Software Engineer with production experience to join our Toronto AI engineering team. You'll help us build and improve the LLM-powered agent systems that turn millions…

MANNARINO

Applied AI Engineer

Montreal, QC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 10, 2026

Original job description

MANNARINO Systems & Software Inc. is a leader in providing safety-critical systems, software, hardware and certification engineering services to the aerospace, defense, space, simulation & power generation industries.

Our customer base is very large, covering traditional aerospace companies as well as new and exciting markets, including electric propulsion, Urban Air Mobility, Unmanned Aerial Vehicle and autonomous flight.

The MANNARINO culture is focused on high quality, hard work, professionalism and teamwork within a highly respectful, motivating atmosphere geared towards long-term business growth.

As a member of our team, you will benefit from:

a comprehensive group insurance and RRSP plan
a flextime policy with paid overtime
discretionary bonuses
a fitness reimbursement program
other office perks such as catered weekly lunches and free hot beverages (espresso, coffee, hot chocolate and tea)
regular company outings

Career Opportunity and Primary Roles / Responsibilities

We are seeking an Applied AI Engineer to help implement secure, reliable AI-assisted workflows for engineering and business activities. The successful candidate will report to the person leading the company's applied AI implementation program and will collaborate with engineering, IT and business stakeholders.

The role focuses on delivering practical AI-enabled software solutions using commercial and open-weight AI models. It does not involve foundation model research or developing new LLM architectures.

Primary Responsibilities

Work with IT to deploy and operate open-weight LLMs on internal GPU infrastructure, including model serving, quantization, performance optimization and application reliability
Build and maintain retrieval systems over company documentation and codebases, including ingestion, chunking, embeddings, vector search and reranking
Package and deploy AI applications using sound software engineering and containerization practices
Integrate AI-enabled tools with internal systems, including Atlassian products, requirements-management and configuration-management platforms, using MCP and standard APIs
Develop AI-assisted workflows supporting engineering and business activities, such as drafting engineering artifacts, triaging problem reports, automating reports and performing business development research
Implement prompt and model configuration, context management, structured outputs, validation rules, logging, error handling and access controls
Design internal user interfaces that support practical day-to-day usage
Implement provenance logging and traceability mechanisms for AI-generated outputs
Build evaluation frameworks and automated testing for accuracy, groundedness, consistency, safety, latency and regression detection
Identify weaknesses in AI workflows and implement continuous improvements

Required Competencies

Diploma or degree in Computer Science, Software Engineering, Computer Engineering, Data Science or a related discipline, or equivalent practical experience
Strong proficiency in Python and experience developing maintainable applications, services or automation tools
Experience with Linux, Docker and Git
Experience working with APIs and integrating data across systems
Hands-on experience developing LLM-enabled applications using commercial, local or open-weight models
Experience building AI-assisted workflows that combine model outputs with contextual or retrieved information
Ability to evaluate AI outputs, identify inaccuracies or ungrounded responses and improve reliability through testing and validation
Demonstrated experience building and maintaining software solutions beyond tutorials or proof-of-concept exercises
Strong attention to detail, documentation and traceability

Asset Qualifications

Experience with local or open-weight models such as vLLM, Ollama or llama.cpp
Knowledge of Retrieval-Augmented Generation (RAG), embedding models, vector databases and rerankers
Experience with agent frameworks, tool calling or Model Context Protocol (MCP)
Familiarity with knowledge graphs or GraphRAG
Experience developing internal web applications and user interfaces
Knowledge of automated testing, observability and secure application development
Experience handling public, proprietary, confidential and controlled information appropriately

Miscellaneous Requirements

Work can be done remotely.
For employees based in Montreal, the work model is hybrid (at least one day at the office).
The position may require occasional travel within North America.
This position is open only to applicants based in Canada.

Why this Role is Worth Your Time

Real hardware. You will work with dedicated high-memory GPU infrastructure, not only a metered API key. Running models on hardware the organization controls - and dealing with what that actually involves - is a valuable skill that many engineers do not get to develop
Scope. Small team, broad remit and direct access to the people making decisions. What you build is intended for real use, and feedback will be direct
A hard domain. Safety-critical aerospace imposes constraints most AI work never encounters: traceability, reproducibility and evidence that may need to stand up to scrutiny years later. Learning to build AI systems within those constraints is genuinely differentiating
An opportunity to help shape the direction. The architecture and implementation approach are still being developed

How to Apply

Send your CV and a short note - a few paragraphs is plenty - telling us about something you built and ran yourself: what it did, what broke and what you would do differently. We are more interested in that than in a list of technologies.

If you have a repository, demo or anything else we can review, include it. Please do not share confidential or proprietary material.

Knowledge of English is required to communicate and work with customers outside the province of Quebec. / La connaissance de l'anglais est requise pour communiquer et travailler avec nos clients situés à l'extérieur de la province de Québec.

At MANNARINO, we believe that passion and a desire to learn is crucial. Diversity of thought and experiences leads to innovative solutions and creativity. This is why we would like to encourage all those interested to apply.

We are an equal opportunity employer. All applicants will be held in strict confidence. Only those selected for interview will be contacted.

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More about this job

Responsibilities

Implement secure AI-assisted workflows and deploy open-weight LLMs on internal GPU infrastructure. Build retrieval systems and integrate AI tools with internal engineering and business platforms.

Requirements

Requires a degree in Computer Science or a related field with strong Python proficiency and experience developing LLM-enabled applications. Candidates must have hands-on experience with Linux, Docker, and building software solutions beyond proof-of-concepts.

Skills

Python
Linux
Docker
Git
LLM Application Development
RAG
Vector Databases
API Integration
Model Quantization
Containerization
Prompt Engineering
Software Engineering
Evaluation Frameworks
Model Serving
MCP
User Interface Design

Benefits

Group insurance
RRSP plan
Flextime policy
Paid overtime
Discretionary bonuses
Fitness reimbursement program
Catered weekly lunches
Free hot beverages
Company outings

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
LLM
Open-weight Models
vLLM
Ollama
Llama.cpp
Retrieval-Augmented Generation
RAG
Vector Search
Embeddings
Model Context Protocol
MCP
GraphRAG
Knowledge Graphs
GPU Infrastructure
Quantization
Atlassian
Aerospace
Safety-critical Systems
Python
Docker
Linux
Git
API
Containerization
Provenance Logging
Traceability
Automated Testing
Observability
Software Engineering

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