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Added 1 month ago
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 1 month ago
AI Application Security Architect
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Toronto, ON
…servers, and autonomous agents, with guardrails that preserve developer velocity across an API-first engineering…
Added 9 days ago
Insurance Solutions Architect
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Experience with GenAI/LLM solutions, RAG, AI agents, model APIs, or enterprise AI platforms.
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Full-time
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Toronto, ON · CAN - Ontario - Toronto
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Added 10 days ago
Agentic AI Developer
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Toronto, ON · CAN - Ontario - Toronto
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…human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI…
Added 12 days ago
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Mississauga, ON · Toronto, ON
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…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
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Data Scientist I
Groupe Dynamite, Inc Garage
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In this role you will be part of a self managed team responsible for building and driving forward our core demand forecasting, recommendation engines and GenAI solutions.
Added 18 days ago
GenAI Delivery Architect
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Mississauga, ON
We are seeking a hands-on GenAI Delivery Architect to design, build, and lead the delivery of enterprise-grade AI Agent solutions. The ideal candidate should have strong experience in…
Added 19 days ago
Senior GenAI Engineer/Lead
Capgemini
Montreal, QC
We are seeking a GenAI & AI/ML Framework Specialist to design, build, and scale next-generation artificial intelligence solutions.
Added 2 months ago
Senior Generative AI Software Engineer
Apertera (formerly Alexa Translations)
Toronto, ON
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…and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation…
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Senior Generative AI Software Engineer
Apertera (formerly Alexa Translations)
Montreal, QC
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…and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation…
Added 1 month ago
Senior Manager Data Engineering
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Toronto, ON · SCC
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Added 1 month ago
Senior Solutions Principal
Dell Technologies
Toronto, ON
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…development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a…
Added 2 months ago
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Sr. Regression Tester with AI Exp
Synechron
Toronto, ON
$110,000 to $120,000 CAD / year
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…functionality of our banking applications. Your expertise in AI, GenAI, Java, Playwright, Selenium, and Javascript will be essential in creating robust test frameworks and ensuring seamless…
Added 1 month ago
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 1 month ago
Data Scientist
Meridian Credit Union
Toronto, ON
Full-time
Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
Added 2 months ago
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…

Equifax

Agentic AI Developer

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

Job type: Full-time
Posting language: English
Posted: Sep 11, 2026

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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

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More about this job

Responsibilities

The developer will build and deploy autonomous multi-agent systems and stateful workflows to solve complex business problems. They will also integrate these AI agents with internal APIs, cloud infrastructure, and UiPath automation platforms while ensuring strict security and compliance.

Requirements

Candidates must have 3+ years of professional experience in AI/ML application development with a focus on LLM orchestration and autonomous agents. Proficiency in Python or TypeScript and experience with agentic frameworks like LangGraph are required.

Skills

Python
TypeScript
LLM Orchestration
LangGraph
Agentic Workflows
RAG
Vector Databases
API Design
Microservices
UiPath
JSON Schema
Cloud Deployment
Software Engineering
Autonomous Systems
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LLM
Python
TypeScript
LangGraph
UiPath
RAG
Vector Databases
Microservices
API
Cloud
Automation
GenAI
Software Engineering
Data Governance
Machine Learning
Autonomous Systems
JSON
DevOps
Function Calling
Semantic Search
State Management
Asynchronous Programming
Human-in-the-loop
Compliance
Architecture
Prototyping
Latency Optimization
Token Consumption
Enterprise Security

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