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Added 20 mins ago
Senior Manager, Engineering
TD
Toronto, ON
Full-time
The Senior Manager, Engineering role requires in-depth experience in building enterprise scaled cloud platforms, enabling cloud services and compute capabilities, and codifying patterns for…
Added 20 mins ago
Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
Full-time
We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud…
Added 1 hour ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Within the Azure Monitor team, we are looking for a Senior Software Engineer to help build and evolve the Azure Monitor backend systems. This role is ideal for someone who can own…
Added 3 hours ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
This is a Senior Consultant role: 7–10 years of total experience with 4–6 years hands-on on Google Cloud (or equivalent cloud with a credible GCP transition path). You will lead workstreams…
Added 3 hours ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 3 hours ago
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
The Senior Azure Engineer (Azure Consultant) is a key technical role responsible for designing, delivering, and supporting modern cloud and hybrid IT platforms for our customers. This…
Added 4 hours ago
DevOps Manager
Raise
Calgary, AB
Contract
The Senior DevOps Engineer with Release Coordination experience to join our client’s technology team. In this critical role, you will help support and empower executive DevOps initiatives,…
Added 4 hours ago
Cloud Security Architect
Affinity
Vancouver, BC
Contract
On behalf of our public-sector client, Affinity is seeking a Cloud Security Architect to provide senior cloud security architecture, governance and advisory expertise in support of a cloud…
Added 6 hours ago
Lead Engineer
Raymond James Ltd.
Vancouver, BC
Full-time
The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and…
Added 6 hours ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 6 hours ago
Associate Director - Lead Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
We are looking for a highly motivated, top-notch software engineer who is a great team player constantly thinking about quality, maintainability, robustness, and simplicity in all generated…
Added 7 hours ago
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
Full-time
You are a hands-on senior QA automation engineer who can go beyond executing existing test scripts. You can design frameworks, understand complex backend integrations, trace data across…
Added 7 hours ago
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 8 hours ago
Senior Database Administrator - Information Technology Services
MacEwan University
AB · Edmonton, AB
Full-time
Reporting to the Team, Lead, IT Data and Analytics, the Senior Database Administrator is a technical subject matter expert responsible for leading activities related to enterprise database…
Added 8 hours ago
DevOps Engineer
Raise
Calgary, AB
Full-time
The Senior DevOps Engineer with Release Coordination experience to join our client’s technology team. In this critical role, you will help support and empower executive DevOps initiatives,…
Added 10 hours ago
Systems Administrator
Eckler Ltd. / Eckler ltée
Toronto, ON · Greater Toronto Area, Canada
$82,000 to $95,000 CAD / year
Full-time
Reporting to the Senior Infrastructure Engineer, the Systems Administrator supports the security, reliability, performance, and continuous improvement of Eckler’s hybrid technology…
Added 10 hours ago
Lead Engineer
Raymond James
Vancouver, BC
Full-time
The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and…
Added 12 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration…
Added 17 hours ago
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
Full-time
Develop and deploy scalable, secure, and efficient cloud-based applications using Azure services. Strong background in REST API, system design and application integration, including data…
Added 22 hours ago
Senior Software Engineer
Hire Rightt - Executive Search & HR Advisory
Toronto, ON
Contract
Develop modern cloud-based applications and integrations with internal and external systems.
Added 23 hours ago
Senior Cloud Security Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
…stronger financial future for the healthcare community. As a Senior Cloud Security Engineer, you will have the opportunity to influence technical decisions, challenge existing approaches,…
Added 1 day ago
Devops Engineer - Cloud Migration
Apex Systems
Toronto, ON
$55 USD / hour
Contract
Apex Systems is seeking a highly motivated Senior DevOps Engineer to support a leading Canadian financial institution's Digital Banking organization. This role will focus on managing and…
Added 1 day ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
…team members to design and implement security solutions (e.g. Cloud/App Security, AI to Defend) for our clients, helping secure their cloud environments and software development processes.…
Added 1 day ago
Senior Data Engineer
Ledcor
Vancouver, BC
Full-time
Ledcor is hiring a Senior Data Engineer to join our Data & Analytics Platform team. In this role, you will design, build, and maintain enterprise-scale data solutions that support…
Added 1 day ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
…architects, analysts, governance, and business stakeholders, the Senior Data Engineer will translate business requirements into reusable data products and production-grade solutions across…

Urban Ridge Supplies

Senior Agentic Engineer - JavaScript

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

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Original job description

Shape the Future with TribalScale

TribalScale is a digital innovation firm that helps organizations adapt and thrive in a rapidly changing world. We partner with clients to build transformative digital products, modernize technology platforms, and apply emerging technologies - including artificial intelligence - to meaningful business challenges. Our teams work closely with clients from strategy through execution. We value curiosity, ownership, practical innovation, and people who are comfortable turning ambiguity into action.

Our Digital Expertise

Transformation Experts: We transform traditional business models into agile, AI-powered ecosystems.
Strategic Visionaries: We navigate the uncharted waters of technological evolution.
Product Virtuosos: We orchestrate the creation of world-class digital solutions.
Code Optimizers: We leverage AI to refine and perfect digital systems.

Our Technological Toolkit

Mobile & Web Development: (iOS, Android, React Native, React, Node.js)
Voice-Activated Platforms: (Amazon Alexa, Google Home)
Connected Ecosystems: (Cars and Homes)
Streaming Platforms: (Roku, Fire TV, Android TV, tvOS)

The TribalScale Professional

You thrive in challenging environments where innovation is key. Your passion for technology is matched only by your drive to redefine its limits. You seek more than a job; you seek a calling - a chance to make a lasting impact on the digital landscape.

The Opportunity

TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery. In this role, you will embed with client and internal teams to understand complex business problems, rapidly design solutions, and deploy production-quality software in real-world environments. You will operate as both a hands-on engineer and a trusted technical partner - translating business needs into working products while helping clients make sound technology decisions. You will be expected to understand more than models and prompts. You will help design the systems around AI models: the harnesses, agent loops, state graphs, tools, context, evaluations, observability, permissions, and human controls required to make AI applications useful and reliable in production.

This role is ideal for an adaptable engineer who enjoys direct customer interaction, can move comfortably between discovery and delivery, and wants to see their work create immediate, measurable impact.

What You'll Do

Partner directly with clients to understand & inform their objectives, workflows, technical environments, data, and operational constraints.
Provide expert advice on architecture, data layers and data pipelines, helping to structure the underpinning of automated delivery cycles
Drive agentic engineering practices across our clients, providing expert advice and coaching
Translate ambiguous business challenges into clear technical requirements, solution architectures, prototypes, and delivery plans.
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Engineer the harnesses around AI models, including prompts, tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms.
Build and refine agent loops that support planning, tool selection, execution, observation, reflection, recovery, and termination.
Model complex workflows as graphs, state machines, or other orchestration patterns that coordinate models, tools, data, systems, and human approvals.
Create evaluation frameworks that measure task completion, accuracy, reliability, safety, latency, cost, and user value.
Develop rapid prototypes and proofs of concept, validate them with real users and representative evaluations, and evolve successful ideas into secure, scalable products.
Integrate solutions with client systems, enterprise data sources, cloud platforms, and third-party services.
Work across the technology stack, contributing wherever needed - from user interfaces and backend services to AI infrastructure, data workflows, and deployment pipelines.
Implement appropriate safeguards, permission boundaries, approval steps, and fallbacks for autonomous and semi-autonomous systems.
Instrument AI applications so teams can inspect traces, understand intermediate states, diagnose failures, and improve system performance.
Identify and address failure modes such as hallucinations, looping, brittle tool calls, context loss, prompt injection, non-deterministic behavior, and unsafe actions.
Troubleshoot complex technical and operational issues in client environments.
Communicate technical decisions, risks, trade-offs, and progress clearly to both technical and non-technical audiences.
Collaborate with product managers, designers, engineers, data specialists, security teams, and client stakeholders throughout the delivery lifecycle.
Establish strong engineering practices, including automated testing, documentation, observability, security, and continuous delivery.
Capture reusable patterns, components, and insights that strengthen TribalScale's engineering capabilities and future client engagements.
Support technical discovery, solution demonstrations, workshops, and pre-sales conversations when needed.

What You Bring

Professional experience building and deploying production-grade software, including AI-powered or agentic systems.
Strong proficiency in JavaScript, NodeJS, TypeScript, Python
Strong development fundamentals, object oriented programming, test driven development, and cloud based application deployment
Strong presentation & communication skills, experience working with teams and mentoring other engineers in a collaborative environment
A practical understanding of harness engineering: designing the infrastructure, context, tools, permissions, controls, and feedback mechanisms that enable AI agents to operate reliably.
Experience building or working with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and termination.
Familiarity with graph-based orchestration, state machines, and multi-step workflows for coordinating agents, tools, data, and human approvals.
Experience designing evaluation systems for AI applications, including task-based benchmarks, regression suites, model-graded evaluations, human review, and production monitoring.
Understanding of the trade-offs involved in prompts, context management, memory, retrieval, tool use, structured outputs, and model selection.
Experience instrumenting AI systems to trace decisions, inspect intermediate states, measure quality, and diagnose failures.
Strong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practices.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Ability to quickly understand unfamiliar systems, technologies, and business domains.
Ability to move from an ambiguous customer problem to a working prototype, validate it with real users and evaluations, and evolve it into a secure, maintainable production system.
Strong product judgment and the ability to balance model capability, reliability, latency, cost, security, and user experience.
Experience collaborating directly with customers, stakeholders, or cross-functional delivery teams.
Excellent written and verbal communication skills, including the ability to explain AI-system behavior, limitations, risks, and technical trade-offs clearly.
Comfort working in fast-moving environments where requirements and technical constraints continue to evolve.
A high degree of ownership, curiosity, empathy, and bias toward action.
Ability to travel occasionally for client workshops or on-site delivery, where required.

We recognize that strong candidates may not meet every qualification listed. If this role excites you and your experience is adjacent to what we have described, we encourage you to apply.

Nice to Have

Experience with agent frameworks, workflow engines, coding agents, or custom model-orchestration systems.
Experience creating tool interfaces, execution sandboxes, permission models, and human-in-the-loop controls for autonomous or semi-autonomous systems.
Familiarity with retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategies.
Experience evaluating AI systems using golden datasets, simulators, adversarial testing, online experiments, and production feedback.
Familiarity with AI observability, including traces, token and cost analysis, latency measurement, failure classification, and quality dashboards.
Experience building systems that use multiple models or specialized agents to complete complex tasks.
Understanding of AI security concerns, including prompt injection, data leakage, excessive agency, insecure tool use, and supply-chain risks.
Experience with containers, Kubernetes, infrastructure as code, and CI/CD tooling.
Contributions to AI infrastructure, evaluation tooling, agent frameworks, or related open-source projects.
Experience working in regulated or complex enterprise environments.
Experience in consulting, professional services, solutions engineering, sales engineering, or another customer-facing technical role.
A history of taking products from initial discovery through production launch and ongoing adoption.

What Success Looks Like

In your first few months, you will have built trusted relationships with client and TribalScale teams, developed a strong understanding of the client's operating environment, and contributed working software to a meaningful business challenge.

As you grow in the role, you will:

Turn loosely defined client needs into clear, executable technical plans.
Deliver AI-enabled products that perform reliably outside of controlled demonstrations.
Establish evaluation and observability practices that make quality measurable and regressions visible.
Improve agent behavior by refining harnesses, loops, tools, graphs, context, and safeguards - not only by changing prompts or models.
Help client teams understand what their AI systems can do, where they can fail, and how they should be operated responsibly.
Create reusable technical patterns that accelerate future TribalScale engagements.
Become a trusted partner who can navigate uncertainty, solve difficult technical problems, and help promising ideas reach production.

Why TribalScale

Work on high-impact challenges across industries and technology domains.
Build real products and production systems - not just recommendations or presentations.
Work directly with clients and see the impact of your decisions.
Explore emerging approaches to AI, agentic systems, product development, and software delivery.
Collaborate with multidisciplinary teams that value experimentation and continuous learning.
Influence both client outcomes and TribalScale's evolving technical practices.
Join an environment where ownership, diverse perspectives, and thoughtful innovation are encouraged.

Why Choose TribalScale

At TribalScale, collaboration is at the heart of our innovative approach. We don't simply work for clients; we form partnerships, building transformative solutions that redefine what's possible. Our team, once at the forefront of the mobile revolution, now leads the charge in AI-driven innovation.

We empower each team member to be a catalyst for change, adhering to our principles of meritocracy, empowerment, and transparency. Diversity isn't just celebrated - it's fundamental to our strength. Our mission to "Right the Future" is a call to action to make a significant impact in the world of innovation.

Diversity: Our Collective Strength

TribalScale proudly stands as a beacon of equal opportunity in employment and workplace culture. We are steadfastly committed to equal employment opportunity, transcending the boundaries of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, able-bodiedness, or gender identity.

We not only welcome but actively encourage applications from individuals of all abilities, ages, citizenships, marital statuses, and gender identities. Your unique perspective is the key to our collective innovation.

Should you require any accommodations, we implore you to inform us. Our commitment to inclusivity knows no bounds, and we stand ready to adapt our processes to ensure your comfort and success.

Job Id: aXkstHLtSWsa7T1ItsMQxddYHOOg0soqVchSViHI7m8nvoJjy668C2mgFTUtkWOhG28OJ5j0QA==

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More about this job

Responsibilities

You will partner with clients to design and deploy AI-enabled agentic systems, translating complex business problems into production-quality software. This involves engineering AI harnesses, managing agent loops, and ensuring system reliability through observability and evaluation frameworks.

Requirements

The role requires professional experience in building production-grade AI or agentic systems with strong proficiency in JavaScript, TypeScript, and Python. Candidates must possess excellent communication skills and the ability to navigate ambiguous environments while collaborating directly with stakeholders.

Skills

JavaScript
NodeJS
TypeScript
Python
Agentic Engineering
Artificial Intelligence
Software Architecture
Cloud Infrastructure
API Development
Data Pipelines
System Design
Test Driven Development
Observability
Prompt Engineering
Consulting
Client Delivery

Visa sponsorship

Not detected in the job text

Keywords

JavaScript
NodeJS
TypeScript
Python
Agentic Engineering
Artificial Intelligence
AWS
Microsoft Azure
Google Cloud
Kubernetes
CI/CD
Retrieval-Augmented Generation
Vector Search
Knowledge Graphs
Prompt Engineering
System Architecture
Data Pipelines
Observability
Consulting
Software Engineering
Product Development
API
Distributed Systems
Test Driven Development
State Machines
Graph-based Orchestration
AI Security
Digital Innovation
Client Delivery
Prototyping

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