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Added 5 days ago
KR
Quality Assurance Engineer + IoT
KTek Resourcing
Canada
- Full-time
Experience creating an automation framework and maintaining existing frameworks.
Added 5 days ago
R
Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
Design and build multi-agent workflows with orchestration frameworks (LangGraph, CrewAI, AutoGen) including tool use, memory, planning, guardrails and human-in-the-loop patterns.
Added 5 days ago
C
Director of AI Applications Development
CIBC
Toronto, ON
- Full-time
You bring strong technical depth. You have hands-on experience with Python, FastAPI, JavaScript (Vue.js or React.js), SQL, Redis, and Azure Cloud services, including Azure OpenAI / AI…
Added 5 days ago
E
Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…utilize external tools, and solve open-ended business problems with minimal human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our…
Added 5 days ago
C
Staff Backend Engineer | Remote, US & Canada
Cube
Canada
- Full-time
Engineering Leader: Proven ability to define engineering standards, design reusable abstractions, and improve developer velocity through internal tooling and frameworks.
Added 5 days ago
MT
Physical Design Engineer
Mirafra Technologies
Canada
- Full-time
We are seeking a Physical Design Engineer with a strong foundation in Static Timing Analysis (STA) and a focus on design flow automation. In this role, you will be responsible for driving…
Added 5 days ago
RC
Senior QA Engineer
Rexall Care Network
Mississauga, ON
- Full-time
Define and own the test automation strategy, framework architecture, and tooling standards for assigned product areas; ensure the strategy scales with product growth.
Added 5 days ago
B
Data and Reporting Analyst
BMO
Toronto, ON · BMOPLACE
- Full-time
…Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business…
Added 5 days ago
IF
Senior Analyst, Quantitative Data Science
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…scalable systems and analytics objectives. The team works closely with Front Office investment teams to modernize analytical workflows, enable cloud-native solutions, and accelerate the…
Added 5 days ago
SI
Full-Stack Developer (Rust & WebAssembly)
SuperQubit Inc.
Markham, ON
- $80,000 to $120,000 CAD / year
- Full-time
Python: experience with scripting, automation, testing, or tooling.
Added 5 days ago
E
Quality Engineer - Banking Mobile (iOS/Android) & Automation Testing
Experis
Toronto, ON
- Contract
We are seeking a results-driven Quality Engineer with extensive experience in mobile and digital banking platforms. The ideal candidate will play a pivotal role in building quality into…
Added 5 days ago
C
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras
Toronto, ON
- Full-time
In this role, you will develop sophisticated test automation, validate complex AI inference systems, investigate cross-stack failures, and drive improvements in release quality and…
Added 5 days ago
C
AI Inference Core - Technical Lead Manager, Release Qual & Integration
Cerebras
Toronto, ON
- Full-time
Partner with and mentor SDETs, feature teams, Integration, Core Infra, release owners, and deployment teams; between active engagements, advance automation efficiency, diagnostics, probes,…
Added 5 days ago
P
Lead Data Consultant, Manager
PwC
Toronto, ON
- Full-time
…and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the…
Added 5 days ago
GD
Software Test Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Proficiency with DSpace Automation Desk and Control Desk (including Matlab, Simulink, Python)
Added 6 days ago
VK
Software Engineer
Venue Kings
North Vancouver, BC
- $70,000 to $120,000 CAD / year
- Full-time
Production experience with either Go or Python, plus the ability and interest to work in both languages.
Added 6 days ago
B
Software Developer - (Automations/ AI /Dev Ops)
BMO
Mississauga, ON · EXPL
- Full-time
…Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business…
Added 6 days ago
R
AI Platform Engineer
RBC
Bedford, QC
- Full-time
Strong software development background (Python and/or TypeScript/JavaScript) with the ability to build and operate production-grade services, not just prototypes
Added 6 days ago
R
Digital Asset QA Engineer
RBC
Toronto, ON
- Full-time
Experience with test automation frameworks (Selenium, Cypress, Playwright, etc.)
Added 6 days ago
RP
Sr. QA Engineer
Rexall Pharmacy Group Ltd.
Mississauga, ON
- $80,453 to $95,000 CAD / year
- Full-time
Define and own the test automation strategy, framework architecture, and tooling standards for assigned product areas; ensure the strategy scales with product growth.
Added 6 days ago
TC
Data Lead
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $100,000 CAD / year
- Full-time
…clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company…
Added 6 days ago
Software Development Engineer in Test (SDET)
OSI Maritime Systems
Burnaby, BC
Design, develop, and maintain scalable Python-based test automation frameworks and reusable test libraries for API, UI, system, functional, regression, and performance testing.
Added 6 days ago
A
EDA Software Engineer
Altera
Toronto, ON
- Full-time
…Altera's FPGA design tools and workflows. You will work closely with FPGA architects, software engineers, hardware designers, and verification teams to build scalable Electronic Design…
Added 6 days ago
PI
Full Stack Developer
Piicomm Inc.
Plantagenet Station, ON
- Full-time
PiiComm is seeking a Full Stack Developer to join our growing R&D team. You will own deliverables from concept through deployment, building production-ready applications in Azure with…
Added 6 days ago
Applied Machine Learning Scientist
Velan Inc.
Montreal, QC
…and improve decision-making, workflow efficiency, and process automation across the organization. Working at the intersection of data science, software engineering, and MLOps, you will…

Equifax

Agentic AI Developer

Toronto, ON, Canada
CAN - Ontario - Toronto, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 19, 2026

Original job description

Synopsis of the Role

At Equifax, we are moving past passive AI chat interfaces to build the future of autonomous workflows. We are creating intelligent, self-correcting multi-agent systems that can navigate complex software environments, utilize external tools, and solve open-ended business problems with minimal human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI workforce.

In this role, you will be the hands-on builder translating complex automation blueprints into production-grade, stateful agentic workflows. Working within our secure, globally integrated, and highly regulated architecture, you will push the boundaries of what autonomous systems can do - balancing cutting-edge LLM orchestration with absolute data security and deterministic guardrails.

What you will do

Core Agent Engineering & Creative Prototyping

Build Complex Agentic Loops: Develop, test, and deploy robust multi-agent architectures and stateful graph workflows using LangGraph, Google ADK frameworks with our internal agentic or UiPath platforms.
State & Memory Management: Implement advanced short-term and long-term memory systems, utilizing vector databases and custom checkpointing to ensure agents maintain flawless context across long-running, asynchronous tasks.
Creative Problem Solving: Apply a customer-centric, design-thinking lens to architecture challenges. You will actively design solutions and rapidly prototype creative, fact-based AI systems that solve ambiguous, non-linear business problems.
Optimize Model Execution: Optimize agentic loops for latency, context-window management, and token consumption, making strategic decisions on when to deploy multi-LLM orchestration, lightweight local models, or high-performance frontier LLMs.

Tooling, APIs & Cloud Deployment

Equip Agents with Tools: Build clean, secure integrations allowing LLMs to interact with internal APIs, databases, modern microservices, and third-party SaaS platforms via advanced function-calling.
Cross-Functional Collaboration: Partner directly with infrastructure, product, business and DevOps teams to containerize, deploy, and scale your AI agents securely within a cloud environment, ensuring smooth production delivery.
Bridge AI & RPA: Partner with our automation squads to integrate agentic decision-making with enterprise-grade UiPath workflows, effectively turning traditional RPA bots into intelligent, cognitive executioners.

Regulated Security & Code Quality

Code for a Regulated Space: Design agent workflows that strictly adhere to enterprise security, compliance, and data governance standards, ensuring auditable decision logs and safe handling of sensitive data.
Code Quality & Governance: Build and follow strict software development best practices. You will conduct rigorous code reviews for internal and vendor-delivered artifacts, maintaining a standardized, world-class global code repository.
Implement Guardrails: Build human-in-the-loop (HITL) overrides and strict operational guardrails into agent architectures to eliminate catastrophic hallucinations and prevent infinite execution loops.
Maintain Code Excellence: Write exceptionally clean, modular, and reusable Python/TypeScript code. Conduct rigorous code reviews for internal and vendor-delivered components to maintain a global standard.
Stakeholder Translation: Act as a technical translator, clearly articulating complex AI concepts, loop mechanics, and architectural risks to non-technical business leaders and project teams.

What Experience You Need

Experience: 3+ years of professional experience building production-grade AI/ML applications, with a heavy emphasis on LLM orchestration and autonomous agent patterns over the last 1–2 years.
Software Engineering Mastery: Strong proficiency in Python or TypeScript, with a deep understanding of asynchronous programming, API design, and microservices architecture.
Agentic Frameworks: Proven, production-level experience building custom agentic runtime loops or utilizing graph-based orchestration frameworks like LangGraph or Google Agent Development Kits (ADK).
RAG & Vector Infrastructure: Practical experience working with Advanced RAG pipelines, semantic search, and vector databases
Structured Outputs: Mastery of JSON schema design and structured decoding techniques for bulletproof LLM tool-calling.
Problem-Solving Mindset: A strong architectural intuition for breaking down ambiguous, multi-step human tasks into structured, programmatic agent prompts and loops.

What Could Set You Apart

Regulated Industry Background: Prior experience deploying AI or high-throughput software solutions within a highly secure or regulated industry.
Live production experience: Experience with deploying live AI solutions with Agentic workflows or GenAI solutions
UiPath & Intelligent Automation: A strong understanding of the UiPath ecosystem and experience bridging traditional RPA with generative AI models.
A proactive, self-motivated mindset with a passion for driving AI adoption across an organization to fundamentally change the way people work.
Demonstrated learning agility and a proactive approach to mastering new technologies.

This is a newly created position.

Primary Location:

CAN-Toronto-5700 Yonge

Function:

Function - Tech Dev and Client Services

Schedule:

Full time

Apply About employer

More about this job

Responsibilities

You will design and deploy autonomous multi-agent systems and stateful workflows to solve complex business problems. This role involves integrating LLMs with internal APIs and enterprise automation platforms while ensuring strict data security and operational guardrails.

Requirements

Candidates must have 3+ years of experience in AI/ML application development with a focus on LLM orchestration and autonomous agent patterns. Proficiency in Python or TypeScript and experience with graph-based frameworks like LangGraph are essential for this role.

Skills

Python
TypeScript
LangGraph
LLM Orchestration
Autonomous Agents
RAG
Vector Databases
UiPath
API Design
Microservices
JSON Schema
Asynchronous Programming
Cloud Deployment
Data Governance
Prompt Engineering
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LLM
Multi-agent Systems
LangGraph
Google ADK
UiPath
RPA
Python
TypeScript
Vector Databases
RAG
API
Microservices
Cloud
DevOps
Data Governance
Human-in-the-loop
GenAI
Semantic Search
JSON Schema
Asynchronous Programming
Automation
Machine Learning
Software Engineering
Enterprise Security

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