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Kit Jobs in Kitchener, ON (NOW HIRING)

Alpaca

Senior AI Platform Engineer

Waterloo, ON · On-site

LLM-powered workflows, tool-calling agents, evaluation loops, or autonomous execution -- using frameworks like the Claude SDK, Google Agent Development Kit (ADK), LangGraph, or similar. Not classical ...

Public Health Ontario

Laboratory Attendant 1

Hamilton, ON

CA$26.87 - CA$28.34/hr

Completes logs and records as required (i.e. eyewash, spill kit, bench cleaning etc.). * Opens, sorts and racks specimens upon receipt. * Washes glassware including loading, operating and unloading ...

GHD

Copilot Platform Administrator

Waterloo, ON · Hybrid

Competence with the Power Platform CoE Starter Kit, admin analytics, and tenant-level monitoring tools. * Operational discipline: strong ticket hygiene, incident and change management awareness, and ...

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All JobsKit JobsKit Jobs in Kitchener, ON

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How much do kit jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for kit in Kitchener, ON is $15.43, according to ZipRecruiter salary data. Most workers in this role earn between $12.11 and $15.92 per hour, depending on experience, location, and employer.

What is a kit?

A Kit job typically involves assembling, organizing, or managing kits that contain specific components, products, or materials. This role is common in industries like manufacturing, healthcare, and retail, where kits are used for production, packaging, or distribution. Responsibilities may include inventory control, quality checks, and ensuring all kit components are complete and accurate.

What are the typical responsibilities of a kit assembler in a manufacturing environment?

Kit assemblers are responsible for gathering, organizing, and packaging specific sets of components or parts into kits according to detailed instructions. This role often involves working from production lists or bills of materials, ensuring all required items are included, and checking for quality and accuracy. Kit assemblers frequently collaborate with inventory and quality control teams to resolve discrepancies and maintain efficient workflow. Attention to detail and the ability to stay organized in a fast-paced environment are key to success in this position.

What are the key skills and qualifications needed to thrive as a kit manager, and why are they important?

To thrive as a Kit Manager, you need strong organizational abilities, inventory management skills, and a background in supply chain or logistics, often supported by relevant experience or certifications. Familiarity with inventory tracking software, barcode systems, and procurement platforms is typically required. Attention to detail, effective communication, and problem-solving are vital soft skills for managing supplies and coordinating with teams. These skills ensure efficient kit preparation, minimize errors, and support smooth operations in environments like laboratories, sports teams, or production settings.

What is the difference between Kit vs Electrician?

AspectKitElectrician
Required CredentialsTypically no formal certification neededLicensed and certified in electrical work
Work EnvironmentOften used in manufacturing, assembly, or DIY projectsWorks on electrical systems in residential, commercial, or industrial settings
Industry UsageCommonly used in product assembly or as a component in electrical kitsProfessionally installs, maintains, and repairs electrical systems

While a Kit generally refers to a set of components or tools used for assembly or DIY projects, an Electrician is a licensed professional specializing in electrical systems. Kits are used for hobbyist or manufacturing purposes, whereas Electricians perform skilled electrical work in various industries.

What are popular job titles related to Kit jobs in Kitchener, ON?

For Kit jobs in Kitchener, ON, the most frequently searched job titles are:

What job categories do people searching Kit jobs in Kitchener, ON look for?

The top searched job categories for Kit jobs in Kitchener, ON are:

Kit jobs near you
Infographic showing various Kit job openings in Kitchener, ON as of August 2026, with employment types broken down into 2% As Needed, 68% Full Time, 27% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $32,096 per year, or $15.4 per hour.

Senior AI Platform Engineer

Waterloo, ON • On-site

Alpaca
See more jobs at Alpacaexternal

Full-time

Re-posted 29 days ago

Job description

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role

Alpaca is building an AI Enablement function to move the company from scattered AI experimentation to durable, company-wide productivity gains. As Senior AI Platform Engineer, you will own the technical capability layer that makes that possible.

You will build and maintain the platform infrastructure, connectors, execution patterns, and self-service tooling that lets engineering and business teams use AI safely at scale by turning one-off setups and ad hoc tooling into reusable infrastructure, secure deployment standards, and productized onboarding.

This role requires hands-on experience building with agentic AI systems. This is not classical ML pipelines, but the emerging stack of LLM-powered agents, tool use, evaluation loops, and autonomous workflow execution. You should know this space well enough to make opinionated decisions about execution patterns, isolation boundaries, and what "safe and reliable" actually means for agents with real tool access.

This is a startup-inside-a-scaleup role. You will need to move fast with limited resources while meeting the standards a regulated fintech environment requires. You will work closely with DevOps, Security, IT, and engineering teams across the company.

Things You Get To Do
  • Own the connector and service integration layer that powers AI workflows across the company.
  • Design and ship execution environments for agents and higher-autonomy AI workflows, including isolation boundaries and access controls.
  • Build reusable platform services, golden paths, and self-service templates that reduce setup friction for teams building on AI.
  • Productize onboarding so it works reliably for both developers and non-developers without depending on manual intervention or tribal knowledge.
  • Define and enforce technical standards for agent execution, evaluation loops, and deployment.
  • Partner with Security and IT to ship deployable patterns for higher-risk AI capabilities.
  • Own the AI governance layer: access controls, audit trails, approval criteria, and deployment boundaries for agentic workflows.
  • Set the reliability, observability, and operational bar for AI-specific infrastructure.
  • Act as the technical escalation point when onboarding or platform issues block rollout.
  • Reduce the company's dependence on individual heroics by turning exception handling into repeatable paths.
Who You Are (Must-Haves)
  • 8+ years in software, platform, infrastructure, or adjacent engineering roles.
  • Hands-on experience building agentic AI systems: LLM-powered workflows, tool-calling agents, evaluation loops, or autonomous execution — using frameworks like the Claude SDK, Google Agent Development Kit (ADK), LangGraph, or similar. Not classical ML or data pipelines.
  • Direct experience with GCP. We run on Google Cloud and you should be comfortable there.
  • Strong experience with APIs, auth, OAuth, secrets, CLI tooling, and deployment patterns.
  • Cloud-native systems experience with containers, orchestration (Kubernetes), and infrastructure-as-code.
  • Experience implementing AI governance controls: access boundaries, audit logging, approval workflows, and safe deployment standards for higher-autonomy systems.
  • Comfortable operating in both fast-moving, low-process environments and more structured, compliance-aware ones. You know when to move fast and when to slow down.
  • Strong bias toward simplification, standardization, and operational reliability over clever one-off solutions.
  • Excellent communication skills with the ability to work across engineering, security, and non-technical stakeholders.
Who You Might Be (Nice-to-Haves)
  • Shipped production agentic systems with real external tool access (filesystems, APIs, staging systems).
  • Hands-on experience with Google Agent Engine (Vertex AI Agent Builder) or equivalent managed agent execution platforms.
  • Direct experience with AI-native coding environments (eg. Cursor, Claude Code). You have strong opinions on how these tools fit into a real engineering workflow.
  • Designed or operated agent sandboxing, isolation, or evaluation frameworks.
  • Built self-service developer platforms or golden paths used by multiple teams.
  • Has startup experience and knows how to build durably with limited resources.
  • Familiarity with fintech, regulated environments, or compliance-aware deployment.


How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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