Which cities near Toronto, ON have the most wireless engineer job openings?

The cities near Toronto, ON that boast the highest number of wireless engineer jobs are: Mississauga North York Hamilton Brampton Oshawa St. Catharines Whitby Ajax Scarborough Old toronto

Which cities near Toronto, ON have the most job openings?

The 10 cities near Toronto, ON that have the most job openings are: Mississauga North York Hamilton Brampton Oshawa Vaughan Oakville Burlington St. Catharines Pickering

What are the most popular job searches in Toronto, ON?

The 10 most popular job searches in Toronto, ON are: city general labor general laborer work from home amazon cibc customer service driving canada post weekend

Which cities in Canada offer the highest salaries for wireless engineer jobs?

The top 10 cities are: North York, ON ( from $ 121,814 to $ 165,000 year ) Regina, SK ( from $ 100,504 to $ 157,835 year ) Brampton, ON ( from $ 88,464 to $ 154,009 year ) Ottawa, ON ( from $ 82,875 to $ 151,846 year ) Toronto, ON ( from $ 101,400 to $ 151,828 year ) Old toronto, ON ( from $ 101,400 to $ 151,722 year ) Montreal, QC ( from $ 97,727 to $ 144,127 year ) Calgary, AB ( from $ 55,000 to $ 127,875 year ) Vancouver, BC ( from $ 66,438 to $ 122,098 year )

Wireless engineer Jobs in Toronto, ON

Create a job alert for this search

Wireless engineer • toronto on

Last updated: 6 hours ago

AI Engineer

ExcelGens, Inc.Toronto, ON, Canada

Full-time

Quick Apply

Role: AI Engineer Duration : 15 Month+ Number of r... Show more

AI Engineer

Fulfillment IQToronto, ON, CA

CA$170,000.00 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

DevOps Engineer

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada

Full-time

We are seeking a motivated and enthusiastic Junior DevOps Engineer to join our team.This is an excellent opportunity for someone early in their DevOps career to gain hands-on experience with modern... Show more

Engineer II

The Toronto-Dominion Bank (Canada)Toronto, Ontario

Full-time

THERE IS A PRE-IDENTIFIED CANDIDATE FOR THIS ROLE***.Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, m... 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

Mechatronics Engineer

Intellectt INCToronto, ON, Canada

Full-time +2

Quick Apply

MsoNoSpacing">Hello, I hope you're doing well.MsoNoSpacing"> My name is B... Show more

DevOps Engineer

Sapsol Technologies IncToronto, ON, CA

CA$100,000.00–CA$125,000.00 yearly

Full-time

Quick Apply

Our team is looking for a DevOps engineer with at least 6 years cloud and Kubernetes experience including specialization in ArgoCD.Our project involves building automations for a greenfield managed... Show more

Principal Engineer

ScotiabankToronto, ON, CA

Full-time

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Contributes to the overall success of the Cloud Security Engineering function by ensuring long‑... Show more

Observability Engineer

Astra North Infoteck Inc.Toronto, ON, ca

Full-time

Observability Engineer – Kubernetes, Prometheus, Grafana & Cloud Monitoring.Experienced Observability Engineer to join an Enterprise Kubernetes Platform team within a leading financial services... Show more

Software Engineer

Royal Bank of Canada>TORONTO, Canada

Full-time

You will be a full stack developer on a team focused on web applications that support internal and external RBC users.This role supports the modernization and enhancement of enterprise platforms us... Show more

Presales Engineer

Data MavericksToronto, ON, CA

Full-time

Quick Apply

We are looking for a Presales Engineer who is accustomed to solving customers’ most complex problems and collaborating with sales to close large deals.In this role you will work directly with... Show more

Performance Engineer

Artech LLCToronto, ON

Full-time

Location: Toronto, ON - Hybrid (4 Days WFO).Load runner, JMeter, database , dynatrace , payments domain - good to have.The candidate must have experience in Resiliency testing.The candidate must ha... Show more

Data Engineer

Bay Street StaffingToronto, ON, ca

Full-time

Toronto, ON (hybrid).Extension/Conversion to FTE).Line of Business - .HR Technology Team .In this role, you'll build ... Show more

Software Engineer

RoadpostToronto, ON, CA

CA$130,000.00 yearly

Full-time

Quick Apply

Who We Are  ZOLEO is building the next generation of connected communication devices — integrating hardware, firmware, mobile applications, and cloud services into one seamless global ex... Show more

Platform Engineer

Company 1 - The Manufacturers Life Insurance CompanyToronto, Ontario

CA$86,100.00 yearly

Full-time

Our Cloud Operations team is looking for a motivated.Within this role, you will build and deploy scalable, secure cloud infrastructure on Azure, AWS, or Google Cloud and implement business-aligned ... Show more

Data Engineer

SuiteSpotToronto, ON, CA

Full-time

Quick Apply

Who We Are SuiteSpot is a PropTech company transforming how residential real estate is managed and operated at scale.Our award-winning Maintenance and Capital SaaS solutions serve the top 50 multif... Show more

Data Engineer

LaterToronto, Ontario, Canada

CA$130,000.00–CA$154,000.00 yearly

Permanent

Later is building out the data team and is looking for a Data Engineer to streamline the collection, transformation, and storage of data using the latest technologies in cloud computing.As a Data E... Show more

Wireless communications network engineer

F2G SolutionsToronto, ON, Canada

Permanent

Experience: 3 years to less than 5 years.Telecommunications equipment and networks manufacturing company.Assess, document and optimize the capacity and performance of information and communication ... Show more

Engineer, Software

Link Logistics Real Estate Holdco LLCToronto, Ontario

CA$185,000.00 yearly

Full-time

Link Logistics Real Estate (“Link”) is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate.Established by Blackstone in 2019, the company connects c... Show more

AI Engineer

ExcelGens, Inc.Toronto, ON, Canada

7 hours ago

Job type

Full-time

Quick Apply

Job description

Role: AI Engineer

Duration : 15 Month+

Number of resources needed: 2

Location & work model: Toronto, ON - Hybrid (2-3 times per week onsite)

Project Background:

You will work across complex client engagements designing and implementing AI/ML and agentic AI solutions end to end. You will work closely with business stakeholders, AI Architect, AI Platform Engineers, and Data Scientists to translate complex business challenges into practical, scalable, and responsible AI solutions through maintainable architectural. You will have the opportunity to influence executive stakeholders and help clients responsibly adopt agentic AI to drive measurable business outcomes.
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team, responsible for AI/ML pipelines, agentic workflows, multi-agent coordination, evaluation frameworks, observability and governance that ensure AI solutions work in production.

Key Responsibilities:

Design and implement production-grade agentic AI workflows using open frameworks such as LangGraph, CrewAI, proprietary cloud-based agentic platforms, including agent orchestration, AI gateways (i.e. MCP, A2A), observability, controls and guardrails.
Build and optimise retrieval pipelines for Retrieval Augmented Generation (RAG) and agentic workflows, including chunking strategies, embedding models, vector store integration, and re-ranking to ground agent outputs in accurate, current enterprise data.
Develop and integrate Generative/Agentic AI solutions using large and small language models (LLMs and SLMs).
Build evaluation frameworks to measure AI solution quality, consistency, and implement telemetry and monitoring to track model drift, latency, output quality, and cost metrics in production.
Implement best practices for MLOps, LLMOps, across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, CI/CD, ensuring high availability and low latency.
Build AI governance and responsible AI controls for AI systems
Contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings in agentic and generative AI

Required Qualifications:

A degree in Computer Science, Software Engineering, Data Science, or a related field.
3-5+ years of AI development experience, with at least 2 years focused on building and maintaining production grade AI/ML or agentic AI solutions.
Advanced object-oriented coding skills in Python for production-level codebases. Familiarity with Java, TypeScript/JavaScript is a plus.
Hands-on experience building and deploying AI agents and AI/ML solutions.
Hands-on experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and version control for AI systems; working knowledge of LLM observability and monitoring tools.
Experience in API integration and development.
Consulting or professional services experience is strongly preferred.

Skills and Attributes for success:

Deep experience designing and building agentic AI systems in enterprise environments.
Analytical mindset to troubleshoot AI-specific failure modes, model hallucinations, retrieval gaps, context overflow, agent looping, and system latency and engineer reliable solutions around them.
Experience with AI governance, model risk management, and regulatory considerations in complex or regulated industries.
Adapts quickly to fast-moving environments with frequent updates in AI frameworks, agentic tool patterns, LLM capabilities, and cloud platform services