Agentic AI Developer

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

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.

This role has a base salary range of $78,504 - $103,037 The final salary selected from this range is dependent on the location of the role as well as the experiences & capabilities of the candidate selected. We offer comprehensive compensation and healthcare packages, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! At Equifax, we value and celebrate diversity. We are committed to fostering an inclusive, equitable, and accessible workplace where every member of our team feels respected, supported, and has the opportunity to reach their full potential. We strongly encourage applications from people with disabilities. Accommodations are available upon request for candidates participating in all aspects of the recruitment process. For a confidential request, please contact your recruiter or email us at [email protected] to make arrangements. If you have any questions regarding accessibility at Equifax, you can also contact us at this same email address, [email protected].

Travailler chez Equifax 

Nous croyons en une mentalité de croissance. Chez Equifax, cela comprend offrir à nos employés des occasions de donner le meilleur d’eux-mêmes et d’acquérir de nouvelles compétences en cours de route pour inspirer et bâtir des carrières épanouissantes.