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Added 12 days ago
FY27 Intern - Silicon Validation Engineer, Electrical and Optical Systems Internship - Canada (16 months)
Qualcomm
Ottawa, ON
Full-time
Familiarity with Python and object-oriented programming concepts; experience developing or maintaining software tools is a strong asset
Added 11 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
Experience developing automation solutions using scripting or programming languages such as Python, PowerShell, Bash, or similar.
Added 11 days ago
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
Added 29 days ago
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
$73,000 to $114,000 CAD / year
Full-time
Experience with Azure DevOps, REST APIs, Python, Spark, or Azure Data Factory is considered an asset.
Added 12 days ago
Associate Cloud Engineer
Aptiv
Ottawa, ON
Full-time
Design, develop, and maintain software modules using C, C++, and Python.
Added 12 days ago
Associate Cloud Engineer
Aptiv
Ottawa, ON · ON
Full-time
Design, develop, and maintain software modules using C, C++, and Python.
Added 11 days ago
Power System Engineering Intern-Calgary
Arup
Toronto, ON
Full-time
Scripting/Programming (Python, C++, or other) proficiency and basic knowledge of power system software like ETAP, PSSE.
Added 11 days ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
Strong proficiency in Python across eval tooling, service-level code, and API development (FastAPI or similar), plus working proficiency in TypeScript/Node.js for application integrations.
Added 12 days ago
Associate Director DevOps Developer
RBC
Bedford, QC
Full-time
InnerSource and Developer Experience programs
Added 12 days ago
Project Manager - Digital Transformation
Sunrise Farms
Surrey, BC
Full-time
Hands-on technical experience such as in ELT, SQL Stored Procedures, Python or in pipes, coding, or scripting that connects to databases.
Added 12 days ago
Software Engineering Co-op - Winter 2027
Achievers
Toronto, ON
$28 to $40 CAD / hour
…by seeking out and providing feedback. We believe that every developer has lots to learn and lots to…
Added 12 days ago
Senior Data Scientist
Ontario Securities Commission
Toronto, ON · CA ON Toronto
Full-time
Apply Python, artificial intelligence, natural language processing and text mining to solve complex business problems.
Added 11 days ago
Sr. Pricing Analyst
Grainger Canada
Vaughan, ON
Full-time
Experience with statistical software, such as R, Python and PowerBI, is desirable.
Added 11 days ago
Technology and System Management Student
Ericsson
Ottawa, ON
Full-time
Programming experience in Python and/or C/C++
Added 11 days ago
Test Engineer - Data
The Citco Group Limited
Toronto, ON
Full-time
Strong programming skills in Python (PySpark) and SQL
Added 12 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
Added 11 days ago
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
$168,960 to $188,776.5 CAD / year
Full-time
Proficiency in Python or one other high-level programming language
Added 11 days ago
Quality Assurance Specialist
Powerhouse Controls Ltd
Cambridge, ON
Full-time
Exposure to scripting (Python, JavaScript) for logic, data parsing, or UI/UX adjustments.
Added 11 days ago
Full Stack Developer
ZAPCOM GROUP INC
Toronto, ON
Full-time
Backend development using Java/Spring Boot or Python (Django/FastAPI/Flask)
Added 11 days ago
Energy Analyst Intern (Economics) - Summer 2027
The Brattle Group
Toronto, ON
…for clients using programming languages, such as Excel, R, Python, GAMS, Stata, and VBA (e.g. conducting data and statistical analysis, econometric analysis, building interactive…
Added 12 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes
Added 11 days ago
Software and Hardware Senior Engineering Specialist
SHIV SOFTWARE EXPERTS LLC
Montreal, QC · Dorval, QC
$100,000 to $130,000 CAD / year
Full-time
You have working knowledge of multiple programming languages (C, C++, Ada95, Assembly, Python) and multiple hardware description languages
Added 11 days ago
Business Systems Developer
Grantek Systems Integration
Burlington, ON
Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 11 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
Strong proficiency in Python and experience building APIs/services (e.g., REST/gRPC) and integrating with enterprise systems.
Added 27 days ago
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
$241,000 to $320,000 USD / year
Full-time
Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.

Hygiena

Applied AI Engineer

Mississauga, ON, Canada

Job type: Full-time
Apply by: Oct 18, 2026
Posting language: English
Posted: Sep 18, 2026

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Original job description

Hygiena provides rapid microbiology diagnostic tests and solutions for mission-critical, time-sensitive processes around the world. Hygiena’s proprietary diagnostic technologies enable customers to; prevent illness and save lives, comply with regulations, protect products and brands, run businesses more effectively. Solutions are sold in a wide range of industries globally, but the core focus is food safety.

Headquartered in Camarillo, California and with offices around the world, we are actively looking for talented individuals to help grow the business!

At Hygiena we believe:

In providing the highest quality products & service
Being a leader in innovation
Having a compelling desire to improve and win in the marketplace
In contributing positively not only in the workplace, but in our community and environment!

With rapid growth comes opportunity. We are looking for an Applied AI Engineer (LLM Applications Engineer) to join our team onsite in our Mississauga, Ontario Canada office! This is a full-time / exempt position.

Responsibilities:

Design, build, and ship production-grade GenAI/LLM applications across Hygiena products including SureTrend - copilots, conversational agents and assistants, workflow automation, and decision support. Implement agentic workflows (tool use, multi-step execution, human-in-the-loop controls) with attention to reliability, safety, and clear failure modes.
Design and build advanced retrieval and knowledge systems (RAG): hybrid search, vector and graph stores, indexing strategies, reranking, caching, and source attribution - grounding generation in authoritative sources such as regulatory frameworks (FSMA, HACCP, Codex), validation standards (AOAC, MicroVal, AFNOR), SOPs, and technical documentation.
Engineer for production across the full SDLC (build → test → deploy → monitor → iterate). Implement MLOps/GenAIOps practices (CI/CD, reproducibility, environment parity, model/prompt/agent versioning) and build evaluation and observability for GenAI and agentic systems - tracing and instrumentation, regression test suites, automated scoring, and prompt/policy iteration loops.
Security-test and red-team LLM and agentic systems - probing for prompt injection, jailbreaks, data/PII leakage, insecure tool use, and unsafe or non-compliant outputs; build adversarial test suites and harden systems and guardrails based on findings. Design for secure deployment with access controls, auditability, sensitive-data handling, and responsible-AI guardrails suited to a regulated domain.
Configure and integrate AI solutions into enterprise and customer environments - APIs, data systems, and business applications (e.g., LIMS, QMS, ERP, and collaboration tools) - balancing quality, latency, cost, privacy, and adoption. Support data preparation, transformation, and validation that feeds retrieval, evaluation, and model training/deployment.
Collaborate with Product Managers, Data Engineers, ML Engineering, and food safety scientists; translate ambiguous product and domain needs into clear technical requirements and tradeoffs; document patterns, decisions, and instrumentation; and stay current on emerging AI tools, models, and frameworks, bringing promising ones into real Hygiena use cases.

Qualifications:

Bachelor’s Degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience; Master’s a plus.
Minimum of 3–5 years of professional software, AI, or ML engineering experience, with strong backend engineering fundamentals.
1+ years of hands-on experience building and deploying LLM-powered applications in production, with real delivery considerations (latency, cost, reliability, security).
Strong proficiency in Python and experience building APIs/services (e.g., REST/gRPC) and integrating with enterprise systems.
Hands-on experience with at least one frontier GenAI platform - Anthropic, Google, or OpenAI - and its key building blocks (e.g., Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code; Gemini API, Vertex AI Agent Builder, grounding; OpenAI Assistants/Responses APIs, Agents SDK).
Experience building advanced retrieval/search systems (hybrid retrieval, vector search, reranking) and comfort working across multiple data stores (vector, graph, relational/document/search).
Experience implementing agentic patterns (context management, memory/state, orchestration, and tool use).
Familiarity with conversational AI frameworks (LLMs, chatbots, virtual assistants, agents) and their APIs.
Experience with MLOps/LLMOps practices (evaluation frameworks, model monitoring, prompt management) on a platform such as Azure Machine Learning, and with LLM application frameworks/tooling (e.g., LangChain, LlamaIndex), preferred.
Experience security-testing or red-teaming LLM/agentic systems (e.g., prompt injection, jailbreaks, data leakage), and familiarity with frameworks such as the OWASP Top 10 for LLM Applications, preferred.
Experience with cloud environments (AWS, Azure, and/or Google Cloud), common platform services (storage, compute, IAM, networking), containers, and CI/CD preferred.
Data engineering or data-science background (e.g., Spark, Airflow/dbt, feature engineering, experimentation, model evaluation), and experience in a regulated or safety-critical industry such as food safety, diagnostics, or life sciences, is advantageous but not required.

Skills:

Strong product sense and a delivery mindset - takes ideas from proof-of-concept to MVP to production, designing for how real users will rely on AI outputs.
Rigor around accuracy, traceability, safety, and security - designs for trust, guardrails, and graceful failure in a regulated, safety-critical domain.
Comfortable with ambiguity and rapid iteration; able to prototype quickly, evaluate rigorously, and harden into reliable production code.
Clear communication of technical and design decisions to diverse audiences, including Product, ML Engineering, Data, and Customers.
Collaborative mindset; works effectively across Engineering, Data, Product, and food safety/domain teams.
Intellectually curious and committed to staying current with advances in generative AI and applied LLM engineering.
High ownership mentality - takes responsibility for the quality, reliability, and safety of the AI features they ship.

Why you’ll want to join Hygiena:

🚀 Teamwork as a core value

Our emphasis on teamwork and cross-functional communication enables us to build stronger bonds within our business.

🌍 Be a part of something big

We play a critical role in helping to prevent global health crisis such as foodborne illness, healthcare-associated infections, and other outbreaks.

💝 Giving back to our communities

We believe in giving back by supporting local organizations committed to improving the lives of children and youth in our communities.

We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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More about this job

Responsibilities

Design, build, and deploy production-grade GenAI and LLM applications, including copilots and agentic workflows. Implement advanced retrieval systems and MLOps practices while ensuring security, reliability, and compliance in a regulated environment.

Requirements

Requires a Bachelor's degree in a technical field and 3-5 years of professional software or AI engineering experience. Candidates must have hands-on experience with LLM-powered applications, Python, and cloud-based AI platforms.

Skills

Python
LLM
GenAI
RAG
MLOps
Vector databases
Graph databases
API development
Prompt engineering
Agentic workflows
Cloud computing
CI/CD
Data engineering
Security testing
Red-teaming
Software development

Visa sponsorship

Not detected in the job text

Keywords

Applied AI Engineer
GenAI
LLM
Python
RAG
MLOps
GenAIOps
Vector search
Graph stores
Agentic workflows
API
REST
gRPC
Anthropic
Google
OpenAI
LangChain
LlamaIndex
Azure Machine Learning
CI/CD
Security testing
Red-teaming
Food safety
Diagnostics
Microbiology
SureTrend
Cloud computing
Data engineering
Software development
Regulatory frameworks

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