Talent.com

Vmware engineer Jobs in Toronto, ON

Create a job alert for this search

Vmware engineer • toronto on

Last updated: 1 day 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

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

Systems Engineer

STACK IT RecruitmentToronto, ON, CA
CA$80,000.00–CA$90,000.00 yearly
Full-time +1
Quick Apply

Love complex infrastructure challenges and client-facing problem solving? .This is your chance to lead major tech transformations - from server migrations to cloud upgrades - all while being t... Show more

Development Engineer

Active DynamicsToronto, ON, CA
CA$85,000.00 yearly
Full-time
Quick Apply

Active Dynamics is a progressive OEM supplier that designs, tests, and manufactures unique solutions for multiple systems and multiple industries.This full-service, end-to-end capabilities are pair... 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

Automation 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

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

Principal Engineer

Fulfillment IQToronto, ON, CA
CA$180,000.00–CA$210,000.00 yearly
Full-time
Quick Apply

Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.We work at th... Show more

Security Engineer

Advantage GroupToronto, ON, CA
CA$135,000.00–CA$145,000.00 yearly
Full-time
Quick Apply

Security Engineer Advantage Group International is seeking a Security Engineer to join our Technology team.This is a unique opportunity to build and shape our security posture from the ground up.Th... 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

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

Software Engineer

RockstarToronto, ON, CA
Full-time
Quick Apply

Rockstar is recruiting for an early-stage, well-funded startup that is transforming how enterprise accounting teams manage the month-end close process.The founding team brings deep experience from ... Show more

Analytics Engineer

Canadian Unicef CommitteeToronto, Ontario, Canada, M4P 2Y3
CA$90,000.00–CA$105,000.00 yearly
Full-time +1
Quick Apply

JOIN OUR TEAM AS AN Analytics Engineer.Are you looking to use your data & technology expertise.Canada’s most respected and historic charities – and.Canada and globally to create a better world for ... Show more

Data Engineer

FinanceitToronto, ON, CA
CA$75,000.00–CA$105,000.00 yearly
Full-time
Quick Apply

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada.Our platform helps businesses close more sales by offering customers ... Show more

Software Engineer

ScotiabankToronto, ON, CA
Full-time

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Global Banking and Markets Engineering (GBME) is the fast-moving, award-winning technology engi... Show more

Software Engineer

AppearToronto, Ontario, Canada
Full-time
Quick Apply

Appear is building the infrastructure that helps brands get cited by AI: ChatGPT, Perplexity, Google AI Overviews, Gemini.We're early, we're growing fast, and we need someone who can sell a categor... Show more

Cloud Engineer

GPL TechnologiesToronto, ON, CA
Full-time
Quick Apply

Cloud Engineer - Media & Entertainmen Workflows  At GPL Technologies, our mission is to provide powerful, reliable, and innovative technology services and leadership to creative companies ... 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

Electrical Engineer

Trevor Frances RecruitmentToronto, Canada
Full-time

This role is ideal for an engineer who enjoys designing and improving automated manufacturing systems, solving complex technical challenges, and leading projects from concept through implementation... 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.