workday
Agentic AI Developer
Equifax
Toronto, CAN
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
LangGraphGoogle ADKUiPathPythonTypeScriptRAG
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
LangGraphGoogle ADKUiPath
Key Skills for This Role
LangGraphGoogle ADKUiPathPythonTypeScriptRAG
Full Job Posting
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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Equifax
Customer Success Manager (CSM)
, USA
Discovered TodayFull-time
Senior Relationship Manager, Mortgage & Housing
, USA
Discovered TodayFull-time
Business Development Executive, InsurTech
, USA
Discovered TodayFull-time
Senior Strategic Account Executive, Mortgage
, USA
Discovered TodayFull-time
Data Scientist
Thiruvananthapuram, IND
Discovered YesterdayFull-time
Data Engineer
Thiruvananthapuram, IND
Discovered YesterdayFull-time
Data Operator- Senior
Nottingham, GBR
Discovered YesterdayFull Time, Contract
Data Engineer
Thiruvananthapuram, IND
Discovered YesterdayFull-time