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Added 1 hour ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Build observability across the ML stack - utilization, throughput, failure modes, queue times, cost per experiment. When a job fails at 3am on node 47, the researcher should find out why…
Added 2 hours ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
You’ll work with me and our product designer in our Poblenou office in Barcelona, and lead our existing small team of remote full-stack engineers.
Added 2 hours ago
Senior Software Engineer, Fullstack
Okta
Toronto, ON
$136,000 to $187,000 CAD / year
Full-time
We are looking for a software engineer to join our fast-growing team with a focus on scalability, reliability, and enhancing the core building blocks of the product.
Added 2 hours ago
Senior Software Engineer – DevTest / QA Automation
EngRadar
Toronto, ON
Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 2 hours ago
Senior Software Engineer (Full Stack)
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 3 hours ago
Senior Frontend Engineer
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
We're looking for a Senior Frontend Engineer who thrives in early-stage environments and loves building UIs from the ground up. As the first frontend hire, you'll take full ownership of the…
Added 3 hours ago
Quality Assurance Automation Engineer
RedCompass Labs
Toronto, ON
Full-time
Build and maintain automated tests across the full stack – UI, API, middleware and message layers – covering component, integration and end-to-end transaction flows
Added 3 hours ago
Java Software Engineer
RedCompass Labs
Toronto, ON
Full-time
Its flagship Payments Expert Agent is an AI solution purpose-built for the full payments modernization software development lifecycle. Trained on decades of deep payments expertise and more…
Added 4 hours ago
Staff AI Builder
Robots & Pencils
Canada
Full-time
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 4 hours ago
Senior Software Engineer, Full-Stack Applications - Ratings Technology (Toronto)
Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications - Ratings Technology
Added 4 hours ago
Sr. Power Platform Developer
Softchoice
Ottawa, ON
…adoption of Microsoft Power Platform at an enterprise level. The Engineer, Low-Code guides clients on employing Power Platform tools - Copilot Studio, Power Apps, Power Automate, Power BI,…
Added 5 hours ago
AI Engineer
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
You will work closely with the Software Architect, Rust Backend Engineers, Senior Frontend Engineer, and Cloud & Deployment Engineer to embed AI into both: our product (NHI / security…
Added 6 hours ago
Software Engineer - Mobile App (Expo/React Native)
TopHat HR
Markham, ON
$95,000 to $105,000 CAD / year
Full-time
Full-stack development. Design, develop, and ship a cross-platform mobile application using Expo and React Native, backed by Node.js and PostgreSQL.
Added 6 hours ago
Senior DevOps Engineer (GitHub, ADO)
Yochana
Toronto, ON
Contract
Added 6 hours ago
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Urban Ridge Supplies
Toronto, ON
Full-time
You have 3+ years (6-10 years for Senior levels) of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in…
Added 6 hours ago
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Urban Ridge Supplies
Toronto, ON
Full-time
You have 3+ years (6-10 years for Senior levels) of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in…
Added 6 hours ago
Software Engineer - Team Lead (Forward Deployed)
Urban Ridge Supplies
Mississauga, ON
Full-time
…drive value. While you may have natural specialties, we expect full-stack capability accelerated by AI - no dedicated frontend, backend, or DevOps…
Added 6 hours ago
Senior Software Engineer - Applied AI
Urban Ridge Supplies
Toronto, ON
Full-time
As our AI capabilities become central to the product, we're hiring a Full Stack Engineer to join the AI team and build these features end-to-end - from designing LLM-powered services and…
Added 6 hours ago
Senior Software Engineer (AI Integration & Modernization)
Urban Ridge Supplies
Markham, ON
Full-time
We are hiring a Senior Software Engineer to own the design and delivery of production AI capabilities across a broad portfolio of software businesses. You will work directly with product…
Added 6 hours ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Proven ability to design, build, and maintain production-grade services and full-stack applications that integrate AI capabilities.
Added 6 hours ago
Senior Software Developer, Full Stack, Applied AI Agent Studio
Urban Ridge Supplies
Toronto, ON
Full-time
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 6 hours ago
Senior Agentic Engineer - JavaScript
Urban Ridge Supplies
Toronto, ON
Full-time
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 6 hours ago
Senior Engineer, Applied AI
Urban Ridge Supplies
Toronto, ON
Full-time
This is a high-impact, senior engineering role , where engineers are expected to operate with significant ownership and minimal oversight. The role focuses on building production-ready AI…
Added 6 hours ago
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
As a Lead Full-Stack GenAI Engineer , you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 6 hours ago
Senior Agentic Engineer - JavaScript
Urban Ridge Supplies
Toronto, ON
Full-time
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.

Arkion Identity Systems

AI Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Job type: Full-time
Apply by: Oct 2, 2026
Posting language: English
Posted: Aug 5, 2026

Apply About employer

Applications open in a new tab.

Original job description

ARKION PlatformStandard

For Executives

Built for boards, CIOs, and audit committees

Executive Brief

A non-technical overview of the NHI governance gap and how Arkion closes it. Built to forward to your board.

Compliance Crosswalk

DORA, NIS2, ISO 27001:2022, SEC Cyber-Disclosure: mapped to exactly which Arkion capability satisfies each control.

Cost of Inaction

Translate NHI exposure into dollars. The cost of a credential-related breach measured against the cost of governing one.

Trust Center· soon

Security architecture, sub-processors, DPA / MSA / BAA templates, attestation roadmap. Built for procurement.

Learn

Field notes, principles, and the Standard

The NHIG Standard

Version 1.1 of the Non-Human Identity Governance Standard. Principles, vocabulary, maturity model. Open for comment.

Field Notes

Regulatory updates, principle additions to the Standard, breach post-mortems. Slow, considered writing from inside the category.

AI Agent Governance

What it means to govern an AI agent's identity: provisioning, scoping, revoking. Topic explainer.

Certificate Lifecycle

From issuance through rotation to revocation. The cryptographic primitives Arkion is built on.

Identity Registry

The single system of record for every non-human identity in your enterprise.

Why Now

DORA. NIS2. SEC Cyber-Disclosure. The 2024–2026 timeline that turned NHI governance from optional to required.

Tools

Estimate, scan, and act

Risk Estimator

Two minutes. Seven questions. A directional estimate of how many non-human identities are operating outside any governance boundary.

Discovery Scan

A read-only scan of one environment. Every NHI found, named, scored. Delivered to your inbox. No agents installed.

Implementation Timeline

Day 1 scan. Week 1 findings call. Week 2–3 pilot. Week 4 governed estate. The path from first call to first audit answer.

Browse the full libraryAll resources→

PricingTeam

We’re hiring·4 roles→Free ScanScan→

PlatformStandardResourcesPricingTeamRequest Discovery Scan→We’re hiring· 4 roles →

← All open roles

Engineering
AI Platform

AI Engineer (Developer Productivity)

LocationHybrid

Greater Toronto Area

TypeFull-Time

Reports toChief Product Officer

Apply for this role→

About the Role

We are looking for an AI Engineer who can design and build production-grade AI systems to accelerate software development, testing, and deployment across our platform.

This role focuses on LLM-powered agents, orchestration frameworks, and intelligent automation, not just experimentation. You will build systems that are stateful, scalable, secure, and integrated into real engineering workflows.

You will work closely with the Software Architect, Rust Backend Engineers, Senior Frontend Engineer, and Cloud & Deployment Engineer to embed AI into both: our product (NHI / security platform), and our internal engineering stack.

Responsibilities

What you’ll own.

AI agents & orchestration

Design and implement AI agents capable of code generation, review, and refactoring.
Build agents for test generation and validation.
Build agents for deployment automation and troubleshooting.
Build agents for documentation generation and knowledge retrieval.
Build multi-step, stateful workflows using tool calling, task planning, and execution graphs.

LLM systems, SDKs & memory management

Build systems using OpenAI SDK, Anthropic SDK, and AWS AgentCore.
Design and implement memory strategies: short-term (context window), long-term (vector DB / retrieval), and session-based memory for agents.
Use frameworks such as LangGraph, LangChain / LlamaIndex (or similar).
Implement Retrieval-Augmented Generation (RAG), tool/function calling, and multi-agent coordination.

Developer productivity & automation

Build tools that assist engineers working in Rust, Next.js, and cloud-native systems.
Generate boilerplate code, tests, and API integrations.
Improve debugging and observability workflows.
Integrate AI into Git workflows (PRs, reviews, commits), CI/CD pipelines, and internal developer tools.

Cloud & deployment integration

Deploy AI systems in Kubernetes environments and containerized systems (Docker).
Build AI-driven systems for deployment validation, incident analysis, and cloud cost optimization.
Ensure reliability, scalability, and observability of AI pipelines.
Required Skills

What you’ll bring day one.

Core

Strong experience designing and shipping production-grade AI systems (not just experimentation).
Hands-on experience with LLM SDKs (OpenAI, Anthropic) and orchestration frameworks (LangGraph, LangChain, LlamaIndex, or equivalent).
Experience implementing RAG, tool/function calling, and multi-agent coordination.
Familiarity with vector databases and short/long-term memory strategies.
Comfortable working across engineering, product, and infrastructure.
Experience deploying AI services in containerized / Kubernetes environments.
Who You Are
You think in systems, workflows, and automation, not just models.
You focus on real-world impact and production readiness.
You are comfortable working across engineering, product, and infrastructure.
You enjoy building tools that other engineers rely on daily.
You thrive in high-ownership, fast-moving environments.
Why Join Us

01

Introduce AI-first workflows across engineering and deployment.

02

Improve developer velocity and product quality.

03

Reduce manual effort across teams.

04

Help build a modern, AI-driven engineering platform.

Ready to apply?

Email your application directly to FR03@arkion.ai. Include the following so we can move quickly:

Resume
GitHub or portfolio (AI or automation projects)
Examples of AI agents, workflow orchestration systems, or developer productivity tools

Apply by email→← All open roles

ARKION

The governance layer for non-human identity. Purpose-built for the machine estate beneath the enterprise: AI agents, service accounts, and the cryptographic substrate underneath them.

Product

Platform
Capabilities
Discovery Scan

For Executives

Executive Brief
Compliance
Cost of Inaction
Risk Estimator

Learn

NHIG Guide
The NHIG Standard
Vocabulary
Field Notes
AI Agent Governance
Certificate Lifecycle
Identity Registry

Company

About
Team
Careers
Pricing
Contact

Trust & Legal

Trust Center
Security
Privacy
Terms

Apply About employer

More about this job

Responsibilities

Design and deploy production-grade AI agents and stateful workflows for code generation, testing, review, deployment, troubleshooting, and documentation. Integrate AI into developer tools, Git workflows, CI/CD, and cloud environments, ensuring systems are reliable, scalable, and observable.

Requirements

The role requires experience shipping production AI systems, using LLM SDKs and orchestration frameworks, and implementing RAG, tool calling, multi-agent coordination, and memory strategies. Candidates should also have experience deploying AI services in containers or Kubernetes and be comfortable working across engineering, product, and infrastructure.

Skills

Production-Grade AI Systems
LLM SDKs
AI Agent Orchestration
LangGraph
LangChain
LlamaIndex
Retrieval-Augmented Generation
Tool and Function Calling
Multi-Agent Coordination
Vector Databases
Memory Management
Rust
Next.js
Kubernetes
Docker
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Large Language Models
OpenAI SDK
Anthropic SDK
AWS AgentCore
LangGraph
LangChain
LlamaIndex
Retrieval-Augmented Generation
Tool Calling
Function Calling
Multi-Agent Coordination
Vector Databases
Agent Memory
Code Generation
Test Generation
Rust
Next.js
Kubernetes
Docker
Git Workflows
CI/CD
Deployment Automation
Observability
Cloud Cost Optimization
Developer Productivity
Security Platform
Stateful Workflows

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