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Facility engineer Jobs in Toronto, ON

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Facility engineer • toronto on

Last updated: 5 days ago

AI Engineer

BDOBay St,Toronto
Full-time

Putting people first, every day.BDO is a firm built on a foundation of positive relationships with our people and our clients.Each day, our professionals provide exceptional service, helping client... Show more

Facility Coordinator

AkeliusToronto, ON, CA
CA$60,000.00 yearly
Full-time
Quick Apply

Are you looking for career opportunities within a global,  growing real estate company?.Then you might be our next Facility Coordinator.Join us and be a part of our journey.The Facility Coordi... Show more

Facility Administrator II

Randstad CanadaNorth York, Ontario, CA
CA$30.00–CA$36.00 hourly
Temporary
Quick Apply

Primarily responsible for assisting the Workplace Services Supervisor as required in Enbridge’s office locations.This position is focused on helping design and executing Workplace Services process,... Show more

CBSA Tactical Security Guard- Specialized Facility, Full Time

GardaWorldEtobicoke, Onta, CA
Full-time +2

Ready to suit up as a CBSA Tactical Security Guard?.Women are strongly encouraged to apply.Looking to advance your security career and move into an opportunity to work in federal facilities? We are... Show more

Mechanical Engineer

MevotechToronto, ON, CA
Full-time
Quick Apply

Take your Career to the next Level with MEVOTECH.Join Our Team at Mevotech!   Are you ready to elevate your career with a leading North American aftermarket auto parts company?.Mevotech i... Show more

Lead Engineer

ScotiabankToronto, ON, CA
Full-time

Drive the hands‑on engineering, configuration, and integration of CIAM solutions that support enterprise security strategies, reliability standards, and digital identity modernization goals.Impleme... Show more

Network Engineer

AlstomToronto, ON, CA
CA$90,000.00 yearly
Full-time

At Alstom, we understand transport networks and what moves people.From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility... Show more

Solutions Engineer

STAN AIToronto, Ontario, Canada
CA$80,000.00–CA$110,000.00 yearly
Full-time
Quick Apply

This is a solutions engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why — digging through conversation logs, refining prom... Show more

Solution Engineer

ProphixEtobicoke, ON, CA
CA$150,000.00 yearly
Full-time
Quick Apply

See what you can do with Prophix.Prophix helps finance teams work with greater flexibility and confidence through Prophix One™, our Financial Performance Platform.We bring planning, reporting, and ... Show more

AI Engineer

Motion RecruitmentToronto, ON, Canada
Full-time

Join a technology-forward consulting and advisory organization that is making a significant investment in the future of AI.This contract opportunity is ideal for experienced AI Engineers with a pas... Show more

Stress Engineer

Sapsol Technologies IncToronto, ON, CA
Full-time
Quick Apply

Lead Stress Engineer / Project Coordinator.The selected candidate will lead technical stress-analysis activities while coordinating engineering deliverables between customer stakeholders and offsho... Show more

Acoustics Engineer

RWDIToronto, Ontario, CA
CA$65,000.00 yearly
Full-time
Quick Apply

RWDI is a global climate and performance engineering consulting firm that helps its clients redefine what’s possible by overcoming design and operational challenges, while minimizing environmental,... Show more

Facility Operator

Nespresso Deutschland GmbHToronto, de
Full-time

BUSINESS UNIT: Sterling Road Factory.REPORTS TO: Facilities Manager.Nestlé Canada Confectionery is seeking a Facility Operator to join the Maintenance team at our chocolate manufacturing plant in T... Show more

Assistant Facility Manager

University of TorontoToronto, ON, CA
Full-time +1

Faculty of Kinesiology & Physl Ed.Faculty of Kinesiology & Physl Ed.The University of Toronto’s Faculty of Kinesiology and Physical Education is globally recognized for developing and advan... Show more

Software Engineer

ScotiabankToronto, ON, CA
Full-time

An organization that has been in the market for more than 35 years, dedicated to improving our customers’ financial well-being through comprehensive and innovative solutions? 🏛 .RRAE (Retail Risk ... Show more

Tactical Security Guard, Educational Facility

GardaWorldToronto, Ontario, CA
CA$21.71 hourly
Full-time

Ready to suit up as a Tactical Security Guard.Do you thrive on challenges and take pride in staying sharp and ready for action?.If you’re a security professional—or someone aspiring to build a rewa... Show more

Structural Engineer

LAPORTEToronto, ON, CA
Full-time +1

North America and Europe and more than 520 dedicated employees.We are an independent company wholly owned by 45 of our principal engineers.We offer a stimulating environment where autonomy, collabo... Show more

Senior.NET Engineer

Derivative PathToronto, ON, CA
Full-time
Quick Apply

Who We Are Derivative Path empowers institutions across the capital markets with innovative, AI-driven technology and expert advisory solutions.Our award-winning cloud platform supports banks, cred... Show more

Geotechnical Engineer

EnglobeEtobicoke, Canada
Full-time

You will play an important role in a dynamic and passionate team, collaborating on a variety of projects of all sizes and scopes in the environment, renewable energies, hydroelectricity, transporta... Show more

Sales Engineer

Technical Management GroupToronto, Ontario, Canada
Full-time

Job Title: Sales Engineer .General Accountability and Summary.This role will appeal to a collaborative individual with a broad interest in and exposure to project planning, proposal developmen... Show more

People also ask
AI Engineer

AI Engineer

BDOBay St,Toronto
30+ days ago
Job type
  • Full-time
Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a with a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy production‑grade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterprise‑ready AI capabilities with a strong focus on large language models (LLMs), retrieval‑augmented generation (RAG), and agentic workflows, operating within established governance frameworks.Responsibilities:

  • Design, build, and deploy robust, scalable, production‑grade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
  • Develop, refine, and optimize complex prompt strategies; manage model context windows; and fine‑tune models where required to maximize performance, accuracy, and cost efficiency.
  • Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloud‑native architectures.
  • Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrieval‑augmented generation (RAG) solutions.
  • Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and token‑cost optimization.
  • Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full‑Stack Developers, Service Line Labs, and Citizen Developers on firm‑wide initiatives and internal platforms.
  • Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
  • Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and change‑management activities.
  • Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
  • Support the implementation of risk‑mitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

How do we define success for your role?

  • You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration

  • You understand your client’s industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work

  • You identify, recommend, and are focused on effective service delivery to your clients

  • You share in an inclusive and engaging work environment that develops, retains & attracts talent

  • You actively participate in the adoption of digital tools and strategies to drive an innovative workplace

  • You grow your expertise through learning and professional development.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering.
  • Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
  • Deep hands‑on experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLM‑based application design.
  • Proven experience designing and implementing retrieval‑augmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, production‑grade AI architectures.
  • Experience working with vector databases as well as SQL and NoSQL data stores, and hands‑on exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
  • Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
  • Familiarity with machine learning lifecycle and experiment‑tracking tools such as MLflow or Weights & Biases.