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Added 4 days ago
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Lead Data Scientist
Capgemini
Kamloops, BC
- Full-time
We are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems.
Added 4 days ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Build and operationalize AI, GenAI, and Agentic AI solutions.
Added 4 days ago
AI
Power Platform & GenAI Developer – Microsoft Power Apps, Power Automate, Copilot, AI/LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Power Platform & GenAI Developer – Power Apps, Power Automate, Copilot, LLMs, AI Integration
Added 4 days ago
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GenAI DevOps Engineer
Accion Labs
Canada
- Contract
GenAI DevOps Engineer /AI Engineer who has experience building AI agents and deploying them into production on AWS.
Added 4 days ago
TT
Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
Tech Talent International
Montreal, QC
- $120,000 to $130,000 CAD / year
- Full-time
Dynatrace + Prometheus + Grafana + OpenSearch + AWS + Kubernetes + Terraform + Python + Incident Management + RCA + AIOps + LLM/RAG
Added 4 days ago
TC
Quality Engineer / SDET – AI Chatbot Validation
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
Experience testing AI, LLM, GenAI, chatbots, virtual assistants, or conversational platforms.
Added 4 days ago
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Python GenAI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
…technology stacks. In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the…
Added 4 days ago
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Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Senior Machine Learning Engineer – GenAI & Personalisation
Added 4 days ago
AI Solutions Developer
Geotab
Oakville, ON
As an AI Solutions Developer your key area of responsibility will be designing, developing, deploying, and maintaining AI-powered applications that strengthen sales enablement, learning…
Added 4 days ago
IS
MLOps / AI Lead
Iris Software Inc.
Toronto, ON
- Full-time
Proven experience in end-to-end lifecycle of ML Ops /GenAI platform build out in cloud (AWS preferred)
Added 4 days ago
AI Data Developer I, Professional Services, Google Cloud
Google
Toronto, ON
Experience with data platform administration or distributed data processing techniques, as well as writing software in Java, Python, or SQL.
Added 4 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 4 days ago
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AI Engineer (Python and AI)
Collabera
Toronto, ON
- $80 to $100 CAD / hour
- Contract
This person should be particularly strong in Python, AWS, GenAI application development, RAG, and agentic AI. They will own solutions from architecture through development and deployment,…
Added 5 days ago
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System Test Analyst
Ericsson
Ottawa, ON
- Full-time
Assist in transforming our internal test daily workflows and processes, deploying and using Agentic AI or GenAI solutions, coupled with RAN System Verification knowledge. Am I using AI to…
Added 5 days ago
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System Test Analyst
Ericsson
Ottawa, ON
- Full-time
Assist in transforming our internal test daily workflows and processes, deploying and using Agentic AI or GenAI solutions, coupled with RAN System Verification knowledge. Am I using AI to…
Added 5 days ago
SS
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
- Full-time
CS/CE degree, 7+ years’ experience, 5+ in Python.
Added 5 days ago
SL
Principal AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
…driving innovation, implementing cloud capabilities, and building GenAI solutions across our contact centers in Canada, Asia, and the US. This role offers an exciting opportunity to shape…
Added 5 days ago
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Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI…
Added 5 days ago
AS
Backend Developer – GenAI
Amaze Systems
Montreal, QC
- Contract
We are seeking an accomplished Full Stack Developer with expertise in GenAI technologies to join the team and drive key initiatives forward.
Added 5 days ago
Software Development Engineer, Early Career - 2027 (CAN)
Amazon
Vancouver, BC
Use GenAI and AI-powered tools to enhance development productivity, and critically validate, verify, and integrate AI-generated code, exercising sound judgement about when to trust AI…
Added 5 days ago
TT
Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
Tech Talent International
Montreal, QC
- $110,000 to $120,000 CAD / year
- Full-time
Dynatrace + Prometheus + Grafana + OpenSearch + AWS + Kubernetes + Terraform + Python + Incident Management + RCA + AIOps + LLM/RAG
Added 5 days ago
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Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
…Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement robust analytical solutions for various parts of Manulife and JH by applying…
Added 5 days ago
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Enterprise Architect
Synechron
Mississauga, ON
- $180,000 to $210,000 CAD / year
- Full-time
Added 5 days ago
TC
AWS Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong understanding of GenAI and Agentic AI architectures and their integration with enterprise data.• Experience taking solutions from architecture through implementation, production…
Added 5 days ago
MR
Women in Tech Program - Global IT Co-op (Winter 2027 - Toronto, 4 months)
Munich Re
Toronto, ON
- Full-time
Supporting AI projects (Machine Learning and GenAI) by actively collaborating with project teams

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

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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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