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Simulation engineer Jobs in North York, ON

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Simulation engineer • north york on

Last updated: 2 hours 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

Data Engineer

Spectrum Health CareToronto, Ontario, Canada
CA$95,000.00 yearly
Full-time

Design, deploy and maintain a centralized Azure ADLS Gen2/Databricks/Synapse (or Snowflake) data lake that serves as the single source of truth.Create batch & real‑time ETL/ELT flows (Azure Eve... Show more

AI Engineer

PureFacts Financial SolutionsToronto, Ontario, Canada, M2N 5S4
CA$100,000.00–CA$120,000.00 yearly
Full-time
Quick Apply

About PureFacts Financial Solutions.PureFacts is the leader in the Revenue Performance Management category for wealth and asset management firms.The PureRevenue™ Platform helps organizations maximi... Show more

Database Engineer

TSX Inc.Adelaide St W,Toronto
CA$110,000.00 yearly
Full-time

Venture outside the ordinary - TMX Careers.The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations ... Show more

Application Engineer

Randstad CanadaToronto, Ontario, CA
Full-time +1
Quick Apply

Job Title: Senior Lead Java Developer.Location: Toronto, ON (Hybrid – 4 days in office, potential for 3 days after 6 months).Our client, a premier financial services organization, is seeking a Seni... 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

GTM Engineer

UncappedToronto, ON, CA
Remote
Full-time
Quick Apply

Remote role in the US, Canada or Europe.At Uncapped, we help ambitious founders realize their dreams.Acquisition today is concentrated heavily on a single channel, and our outbound motion isn't set... Show more

Reliability Engineer

Kinross Gold CorporationToronto, ON, CA
Full-time

Location: Downtown Toronto (outside Union Station – TTC & GO accessible).Founded in 1993, Kinross is a Canadian-based senior gold mining company with operations and projects in the United State... Show more

Cloud Engineer

Royal Bank of Canada>TORONTO, Canada
Full-time

Join our dynamic and innovative Hybrid Infrastructure Services Team, where cutting-edge technology meets a passion for driving organizational change.We operate critical shared platforms including K... Show more

 • New!

GTM Engineer

OccupierToronto, Ontario, CA
CA$110,000.00–CA$120,000.00 yearly
Full-time

We're building the blueprint for modern go-to-market at Occupier.We are seeking our first dedicated GTM Engineer—an individual who will own the connective tissue across Sales, Marketing, Customer E... Show more

Verification Engineer

Advanced Micro Devices, IncMARKHAM, Ontario, Canada
Full-time

At AMD, we believe technology has the power to solve the world’s most important challenges.From advancing healthcare and scientific discovery to powering AI and the technologies people rely on ever... Show more

QA Engineer

Staffingine LLCToronto, ON, Canada
Full-time
Quick Apply

Job Title: </b><b>Sr QA Engineer<br /> Job Location: Toronto<br /> Job Type: Full-Time</b></p> <p style="margin-bottom:13px"><b>Job Descrip... Show more

Staff Systems Architect – Body Controls Co-Simulation

General MotorsMarkham, Ontario, Canada
CA$147,000.00 yearly
Full-time

This posting is not for an existing vacancy within the organization and is open to new applications.As part of the application process, Artificial Intelligence will be used in the hiring process fo... Show more

Packaging Engineer

Florida Crystals / ASR GroupToronto, ON, CA
Full-time

You are an experienced engineer with experience in a fast-paced, complex manufacturing operation.You have a proven track record and a strong mechanical aptitude, excellent analytical thinking and p... Show more

DevOps Engineer

AcestackToronto, ON, Canada
Full-time
Quick Apply

DevOps Engineer <p data-end="97" data-start="21"><b>Location:</b> Toronto, ON<br data-end="49" data-start="46" /> <b>Work Model... Show more

 • New!

Software Engineer

TuringToronto, Ontario, Canada
CA$200.00–CA$300.00 daily
Full-time
Quick Apply

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.Turing support... Show more

Civil Engineer

CIMA+Markham, Ontario, Canada
Full-time +1

We have delivered hundreds of projects across Canada, including innovative solutions for the full spectrum of water and wastewater assets, on time and on budget.We support clients from start to fin... Show more

Performance Engineer

J M Group IncToronto, ON, Canada
Full-time
Quick Apply

JMeter and APM tools (Prometheus, Dynatrace, Datadog)<br /> Excellent understanding of concepts like NFR gathering, Workload modelling, Root Cause Analysis of performance problems<br /... Show more

OCS Engineer

AECOMMarkham, Ontario, Canada
Full-time

AECOM is currently seeking an Overhead Catenary System (OCS) Engineer with specialized skills in rail systems, to join our multidisciplinary Canadian Systems Engineering team and work on delivering... 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.