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Added 2 months ago
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Bilingual (English/French) Associate Director, Retail Analytics
NielsenIQ
Toronto, ON · Montreal, Québec
- Full-time
Experience with SQL, Databricks, Python, or other analytical programming tools.
Added 1 month ago
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Senior Software Engineer (Conductor)
PocketHealth
Toronto, ON
- Full-time
Proficient in Python and/or TypeScript; able to write clean, maintainable, production-quality codeHands-on experience with AWS (ECS, Lambda, API Gateway, or similar)
Added 1 month ago
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Applied AI Engineer
Syntrace
Toronto, ON
- Full-time
Our users trust us with the most sensitive conversations they have. That makes security part of the product, not a feature on top of it. It shapes which models we use, where data is…
Added 2 months ago
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AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be…
Added 2 months ago
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AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be…
Added 1 month ago
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Specialist Software Cloud Developer
CPKC
Calgary, AB
- Full-time
…and maintains enterprise data integration solutions, working with diverse data sources including Oracle, SQL Server, SAP, SAP BW, Snowflake and other enterprise systems across on-premises…
Added 1 month ago
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Cloud & AI Apps Solution Engineer
Microsoft
Calgary, AB
- Full-time
…stage of the development lifecycle. You will work directly with technical and business stakeholders to design secure, scalable, and resilient Agentic AI architectures that support…
Added 1 month ago
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FY27 Intern - MSIP Digital Design Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
1+ years of academic experience with programming languages such as C, C++, Python, etc
Added 1 month ago
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FY27 Intern - MSIP Digital Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
1+ years of academic experience with programming languages such as C, C++, Python, etc
Added 1 month ago
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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 1 month ago
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Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 1 month ago
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Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply…
Added 1 month ago
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Associate Director DevOps Developer
RBC
Bedford, QC
- Full-time
5+ years of hands-on experience with relevant tech stacks (Java, Python, C#, JavaScript, or similar)
Added 1 month ago
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Project Manager - Digital Transformation
Sunrise Farms
Surrey, BC
- Full-time
Sunrise Farms is a group of companies with primary focus in the poultry industry.
Added 1 month ago
TC
Test Engineer - Data
The Citco Group Limited
Toronto, ON
- Full-time
Armed with superior services, smart people, and strong technology, we tackle our customers’ complicated challenges by developing sophisticated solutions driven directly by their demands.…
Added 1 month ago
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Senior Integration Engineer
Agiloft
Canada
- Full-time
…contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract…
Added 1 month ago
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Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), ML model…
Added 1 month ago
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Data Engineer
Loopio Inc.
Remote, Canada
- $103,500 to $140,000 CAD / year
- Full-time
- Remote
Take your career to new heights with Loopio! 🚀✨
Added 1 month ago
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Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
…members. We are a team of dedicated Engineers and Designers with an average of 7 years’ tenure at Grantek. The vast majority of our employees have started off their careers at Grantek and…
Added 1 month ago
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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 1 month ago
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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 1 month ago
MS
EAM – Tech Strategy Metrics & KPI Lead (Hyrbid)
Morgan Stanley
Montreal, QC
- Full-time
Partner with stakeholders across every division to define, standardize, and govern the metrics and KPIs tracking progress against the firm's strategic technology priorities, building on the…
Added 1 month ago
MS
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 1 month 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 1 month ago
LT
Cyber Secruity Engineer
Lorex Technology
Markham, ON
- $105,000 to $125,000 CAD / year
- Full-time
Collaborate with software development, DevOps, and engineering teams to integrate security requirements and testing into the delivery pipeline

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.

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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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