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Added 1 min ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
Leverage GenAI tools to support test case creation, code generation, documentation, troubleshooting, and productivity improvements.
Added 46 mins ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
Leverage GenAI tools to support test case creation, code generation, documentation, troubleshooting, and productivity improvements.
Added 9 hours ago
Senior AI Engineer
Tekgence Inc
Toronto, ON
Contract
Hands-on experience with modern GenAI patterns: prompt engineering, structured or JSON outputs, tool and function calling, retrieval-augmented generation, and agentic workflows.
Added 12 hours ago
Quality Engineer III
TD
Toronto, ON
Full-time
Leverage AI/GenAI capabilities to enhance test coverage and efficiency
Added 13 hours ago
Applications Development Technology Lead Analyst - Lead Java Developer - Vice President
Citi
Mississauga, ON
Full-time
Champions continuous improvement by adopting modern engineering methodologies, test-driven development (TDD), and GenAI-powered developer productivity tools (e.g., GitHub Copilot) to…
Added 14 hours ago
Quality engineer (AEM)
Insight Global
Toronto, ON
$50 to $55 CAD / hour
Contract
The Digital Platform & Content Management team is searching for an experienced Quality Engineer to join our team. As a Quality Engineer, you will partner with development, architecture,…
Added 23 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
…skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 6 days ago
Senior Application Developer
BMO
Calgary, AB · GCS
As a Senior Software Engineer at BMO, you will be a hands‑on technical leader responsible for the design, development, and ownership of complex, enterprise‑grade applications and services.…
Added 3 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
Engineer for production across the full SDLC (build → test → deploy → monitor → iterate). Implement MLOps/GenAIOps practices (CI/CD, reproducibility, environment parity, model/prompt/agent…
Added 4 days ago
Software Development Engineer Intern - Summer 2027 (CAN)
Amazon
Vancouver, BC
What's in it for you? An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that…
Added 1 month ago
Senior AI Engineer – JVM Engineering (Java/Kotlin), Knowledge Graphs, MCP
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
We are looking for an experienced and highly motivated Senior AI Engineer to join the Technology Strategy team.
Added 5 days ago
Senior AI Engineer
Net2Source (N2S)
Toronto, ON
Contract
We are looking for an experienced and highly motivated Senior AI Engineer to join Canada segment’s Technology Strategy team.
Added 6 days ago
GenAI Test Engineer
Themesoft Inc.
Halifax, NS
Contract
GenAI Testing: LLM, RAG, Agentic AI, API and Test Automation
Added 7 days ago
GenAI Test Engineer
J&M Group
Halifax, NS
Full-time
GenAI Testing: LLM, RAG, Agentic AI, API and Test Automation
Added 8 days ago
Senior Quality Engineer – Test Automation, AI Testing & Java/Python
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Quality Engineer – Test Automation, Java/Python & GenAI
Added 7 days ago
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 13 days ago
AI Benchmark Engineer | Native Language Specialist - French (Canada) - Remote
LILT
Remote, Canada
Contract · Remote
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to…
Added 13 days ago
AI/ML DevOps Engineer
CI Financial
Toronto, ON
Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 17 days ago
Python Engineer- AI
Procom
Mississauga, ON
$60 to $75 CAD / hour
Contract
On behalf of our client in the financial services sector, Procom is searching for a Python Engineer for a contract-to-hire role. This position is hybrid (3 days onsite) in Mississauga,…
Added 17 days ago
Quality Assurance Engineer
Paymentus
Richmond Hill, ON
$70,000 to $100,000 CAD / year
Full-time
At Paymentus, the QA Engineer plays a key role in quality assurance and control of our products, services, and team delivery. The QA Engineer combines quality assurance, engineering, and…
Added 13 days ago
Software Development Engineer in Test, Full Stack, Creativity Apps
Apple
Vancouver, BC
The Creativity Applications team is looking for a Software Development Engineer in Test who has experience in shipping iOS/macOS applications, cloud-based frameworks, and APIs with the…
Added 18 days ago
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 18 days ago
Python Developer
Open Systems Technologies
Mississauga, ON
Contract
Design, develop, test, and support Python-based applications and services.
Added 14 days ago
AI Benchmark Engineer | Native Language Specialist - French (Canada) - Remote
LILT (Production)
Remote, Canada
Contract · Remote
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to…
Added 19 days ago
Artificial Intelligence Engineer
Kelly
Mississauga, ON
Contract
Design, develop, test, and support Python-based applications and services.

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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