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Added 8 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 23 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.
Added 8 days ago
Machine Learning Engineer
Flair Airlines Ltd.
Toronto, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
Full-time
Develop production-quality Python code using machine learning frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
Added 8 days ago
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
Full-time
Exposure to Python, Databricks, Azure, predictive models, machine learning, credit decisioning tools, or AI-enabled productivity tools is an asset.
Added 8 days ago
Power System Engineering Intern-Calgary
Arup
Calgary, AB
Full-time
Scripting/Programming (Python, C++, or other) proficiency and basic knowledge of power system software like ETAP, PSSE.
Added 8 days ago
EAM – Tech Strategy Metrics & KPI Lead (Hyrbid)
Morgan Stanley
Montreal, QC
Full-time
Added 8 days ago
Senior Platform Integration and Monitoring Lead (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
Develop automation solutions and operational tooling using Python, Shell scripting, and AI-assisted development technologies to improve efficiency, reduce manual effort, and increase…
Added 8 days ago
Co-op Student, Service & Operational Planning
Metrolinx
Canada
Full-time
Familiarity with GIS, Power BI, R, Python, or similar analytical tools.
Added 8 days ago
Co-op Student, Bus Service Design
Metrolinx
Canada
Full-time
Experience using data analysis or visualization tools such as Power BI, R Studio, or Python.
Added 8 days ago
Co-op Student, Bus Fleet Engineering
Metrolinx
Canada
Full-time
Knowledge of SQL, Python, R, or other scripting languages.
Added 8 days ago
Mechanical Test Engineer (Co-op)
Zaber Technologies
Vancouver, BC
Write Python scripts to automate our tests and use data analysis tools to convey important conclusions.
Added 8 days ago
Sr. BI and Insight Analyst
Canadian Tire Corporation
Toronto, ON
Full-time
Design, develop, and maintain automated data pipelines and curated analytical datasets using SQL, Python/PySpark, and cloud-based analytics platforms.
Added 8 days ago
Manager, Statistical Modelling & Advanced Analytics
Canadian Tire Corporation
Toronto, ON
Full-time
Added 8 days ago
Principal Application Security Specialist
Global Relay
Vancouver, BC
Experience with security frameworks (OWASP, MITRE, NIST), testing tools (SAST/DAST/SCA), scripting (Python, Java, Bash, PowerShell), and DevOps/CI-CD tooling (Git, Jenkins,…
Added 8 days ago
Exploration Coordinator
Agnico Eagle Mines Limited
NU · Nunavut, Canada
Full-time
Database management: SQL and/or python considered an asset.
Added 8 days ago
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
Full-time
Exposure to Python, Databricks, Azure, predictive models, machine learning, credit decisioning tools, or AI-enabled productivity tools is an asset.
Added 8 days ago
Senior Java Software Engineer
Amaris Consulting
Montreal, QC
Full-time
We are seeking an experienced Senior Java Developer to join a growing Market Risk technology team. In this role, you will design, build, and enhance applications that support critical risk…
Added 8 days ago
Structural Systems Intern 12 Months Starting Fall 2027
Pratt & Whitney
Mississauga, ON
Full-time
Strong practical mechanical aptitude, unselfish team-player, ability with programming using Python to automate pre and post-processing of large amounts of data, ability to work with a…
Added 8 days ago
Cyber Secruity Engineer
Lorex Technology
Markham, ON
$105,000 to $125,000 CAD / year
Full-time
Comfortable scripting/automating (Python, Bash, or similar) for scanning, reporting, and patch tracking
Added 8 days ago
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
Part-time
Proficiency in programming languages such as Python, Go, and Bash.
Added 8 days ago
Software Engineer, Simulation Scalability - Sim RIM (Release and Incident Management) Focus
General Motors
Markham, ON
Full-time
Background improving reliability, performance, or developer experience in distributed systems.
Added 8 days ago
Business Data Analyst
LawDepot
Remote, Canada
Full-time · Remote
Familiarity with Python for data analysis and visualization (ex. pandas, Matplotlib)
Added 8 days ago
Software Development Engineer Intern - Summer 2027 (CAN)
Amazon
Vancouver, BC
Added 8 days ago
Directeur(trice) associé(e), Analyse des données et perspectives d'affaires / Associate Director, Business Insights Analyst
Merck Canada
Kirkland, QC
Full-time
Maîtrise d’outils tels que Power BI, SQL, Python, R ou d'autres plateformes analytiques similaires.
Added 8 days ago
Principal Data Architect
Hays
Toronto, ON
Contract
Strong Python scripting and automation capabilities.

Hygiena

Applied AI Engineer

Mississauga, ON, Canada

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

Apply About employer

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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.

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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