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Added 1 month ago
QP
Data Analyst - Portfolio Reporting, Real Estate Debt
QuadReal Property Group
Vancouver, BC
- Full-time
Advanced knowledge of SQL, Power Query, Excel, and Power BI is required. Familiarity with Anaplan or a similar planning tool is an asset. Experience with Tableau or Python is considered a…
Added 3 months ago
R
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
This is a hybrid position with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines.
Added 3 months ago
C
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
This is a hybrid position with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines.
Added 1 month ago
W
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Candidates for this position are to be based, or plan to relocate, to Toronto, ON and will be expected to comply with their team's hybrid work schedule requirements. Our teams are onsite in…
Added 1 month ago
H
Applied AI Engineer
Hygiena
Mississauga, ON
- Full-time
Design, build, and ship production-grade GenAI/LLM applications across Hygiena products including SureTrend - copilots, conversational agents and assistants, workflow automation, and…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
PG
AI Platform Engineer
Pacer Group
Halifax, NS
- $55 to $60 CAD / hour
- Contract
Work Arrangement: Hybrid: 4 days a week in office
Added 1 month ago
TC
Software Engineer - Python, AWS Lambda, AI
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Role Sr. Software Engineer - Contact Centre Innovation GenAI This role offers an exciting opportunity to shape the future of Customers Contact Center technology and drive innovation on a…
Added 1 month ago
U
Senior Forward Deployed Engineer (Hybrid, Canada)
Unit8
Montreal, QC
- Full-time
GenAI/LLM Context: For relevant tracks, you have past experience building solutions with LLMs and a deep understanding of the overall GenAI landscape (Evaluation, Training, Problem…
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
Strong expertise in RAG (Retrieval-Augmented Generation), embeddings, vector databases, semantic/hybrid search, and knowledge retrieval.
Added 1 month ago
PG
GenAI Developer (AWS)
Pacer Group
Toronto, ON
- Contract
Hands-on expertise in Machine Learning using Python, TensorFlow, PyTorch, and Scikit-Learn.
Added 1 month ago
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Regression Tester
Synechron
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled QA Automation Engineer to build and maintain automated test scripts using Selenium, Playwright, Python, and JavaScript. Lead regression testing, execute test plans,…
Added 2 months ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate…
Added 2 months ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate…
Added 2 months ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate…
Added 2 months ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate…
Added 2 months ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Calgary, AB
- $91,375 to $129,000 CAD / year
- Full-time
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate…
Added 2 months ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Calgary, AB
- $91,375 to $129,000 CAD / year
- Full-time
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate…
Added 2 months ago
V
Senior AI/ML Scientist
Vanguard
Toronto, ON
- Full-time
Experience with machine learning development lifecycle and AI/ML methods such as Transformers, Diffusion Models, SHAP, LLM and GenAI etc.
Added 2 months ago
C
Gen AI Engineering and Scaled AI Transformation
Citi
Mississauga, ON
- Full-time
Role Focus: Generative AI Engineering and Scaled AI Transformation for Source to Pay technology group - Hybrid
Added 2 months ago
QA Engineer III
Zafin
Toronto, ON
Strong automation experience using tools and frameworks such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent technologies.

Hygiena

Applied AI Engineer

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

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

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.

Apply About employer

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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