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Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 3 days ago
FY27 Intern - Silicon Validation Engineer, Electrical and Optical Systems Internship - Canada (16 months)
Qualcomm
Ottawa, ON
Full-time
Software & Automation Skills: Take charge in developing scripts and tools for device configuration, test routines, instrumentation control, and data collection
Added 2 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
As a Cloud, Automation & AI Infrastructure Engineer, Senior Consultant, you will play a key role in designing, implementing, and modernizing cloud and AI-enabled technology platforms that…
Added 3 days ago
Associate Cloud Engineer
Aptiv
Ottawa, ON
Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Added 3 days ago
Associate Cloud Engineer
Aptiv
Ottawa, ON · ON
Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Added 3 days ago
Software Engineer, Data Acquisition
Nascent
Remote, Canada
Full-time · Remote
…proficient in at least one major programming language (Go, Python, C++, Java, or similar) - the stack is primarily Rust, and prior Rust experience is a strong plus, but if you haven't…
Added 2 days ago
Lead Validation Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
Full-time
As an Lead Domain Validation Engineer in the Data Center and GPU Accelerated Processing Division, you will drive IP domain and power-management validation for AMD Data Center GPU products…
Added 2 days ago
Test Engineer - Data
The Citco Group Limited
Toronto, ON
Full-time
…world's largest institutional clients. We are seeking a Test Engineer specializing in Data and data platforms (Databricks) to ensure the quality and reliability of our data…
Added 3 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
We are hiring a Senior Integration Engineer to build and productize integrations between Agiloft and strategic ISV partners. This is a hands-on engineering role with regular partner…
Added 2 days ago
Sr Software Engineer
Zapnix LLC
Montreal, QC
Contract
We're Hiring: Sr Software Engineer (Python + Frontend) AND Sr Software Engineer (Python +DevOps) :: Number of Job Opportunities: 2
Added 3 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio…
Added 2 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
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…
Added 2 days ago
Agent & DevOps Platform Engineer
Epsilon Solutions Ltd.
Toronto, ON
Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
Added 2 days ago
Mechanical Test Engineer (Co-op)
Zaber Technologies
Vancouver, BC
As a Mechanical Test Engineer at Zaber, you will develop innovative test systems for analyzing the performance of our precision motion control products. This is a good opportunity to learn…
Added 3 days ago
Senior Forward-Deployed AI Engineer
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 2 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 2 days ago
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 3 days ago
Software Engineer, Simulation Scalability - Sim RIM (Release and Incident Management) Focus
General Motors
Markham, ON
Full-time
Added 2 days ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
We are seeking a skilled AI/ML Platform Engineer to deploy, manage, and support scalable AI/ML infrastructure and applications across Kubernetes environments. The role will focus on…
Added 2 days ago
Terraform / Cloud Infrastructure Engineer – Azure, Kubernetes & IaC
K&K Global Talent Solutions INC.
NS · Nova Scotia, Canada
Full-time
We are seeking a Terraform / Cloud Infrastructure Engineer with strong hands-on experience in Azure, Terraform, Kubernetes, CI/CD, and Python. The role will focus on designing, deploying,…
Added 3 days ago
QA Automation Engineer
UST
Toronto, ON
Full-time
UST is searching for a skilled QA Automation Engineer to design, develop, and maintain automated test solutions that ensure the quality and reliability of web, mobile, and API applications.…
Added 3 days ago
Principal Product Applications Engineer
LeadingEdge HR Solutions
Ottawa, ON
Full-time
Python or shell scripting experience for validation, automation, and diagnostics.
Added 10 days ago
Intermediate Groundwater Modeller
Equilibrium
Canada
Full-time
Experience with Python or other programming/scripting languages for technical analysis, modelling, or workflow automation is an asset
Added 3 days ago
DevOps, Kubernetes, and Site Reliability Engineer
Randstad Enterprise
Montreal, QC
Full-time
We are looking for an experienced DevOps, Kubernetes, and Site Reliability Engineer with a minimum of five years of relevant industry experience. Experience within financial services or…
Added 3 days ago
Data Engineering Specialist
Accenture
Toronto, ON
Full-time
Implement CI/CD practices for data pipelines, including automated testing, deployment automation, versioning, and controlled promotion across environments.

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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