Agentic AI Optimization 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. To ensure these systems are safe, reliable, and enterprise-grade, we are seeking an analytical Agentic AI Evaluation & Tuning Engineer. 

In this role, you will be the guardian of our production AI reliability. You will bridge the gap between raw Large Language Model (LLM) capabilities and flawless autonomous execution. Unlike traditional software testers or prompt engineers, you will focus on the behavior, decision-making logic, tool-use efficiency, and long-term stability of multi-agent architectures. Your mission is to build the automated evaluation frameworks that keep our agents accurate, cost-effective, and hallucination-free. 

What you will do

Golden Dataset Curation & Automated Evaluation

• Build the "Golden Set": Curate, maintain, and augment high-quality reference datasets (Golden Sets) of documents, user queries, and expected agent trajectories to serve as the ultimate source of truth for testing.

• Automate Eval Cycles: Design and implement automated, continuous evaluation pipelines to measure agent accuracy, latency, token spend, and fallback reliability before code hits production.

• Trajectory & Reasoning Auditing: Trace and dissect complex, multi-step agent "thought" processes (e.g., ReAct, Reflection loops) to pinpoint exactly where an agent deviates from its intended logic path.

Agent Tuning & Developer Collaboration

• Behavioral Optimization: Refine system prompts, context windows, and few-shot examples to optimize how agents execute complex, multi-step workflows.

• Tool & Function-Calling Optimization: Fine-tune how agents interact with external APIs, databases, and UiPath RPA workflows—minimizing execution errors, redundant calls, and token overhead.

• Augment Development: Partner closely with AI Solution Leads and AI Agent Developers to feed evaluation insights back into the development lifecycle, helping them build robust, reusable, and self-correcting agent components.

Production Guardrails & Lifecycle Management (LLMOps)

• Defeat Drift & Hallucinations: Actively monitor deployed agents to identify, troubleshoot, and mitigate semantic drift, prompt injections, infinite execution loops, and hallucinations.

• Maintain Autonomous Integrity: Implement robust guardrail frameworks to ensure agents maintain reliable, fact-based autonomous decision-making post-deployment in production.

• RAG & Knowledge Integration: Optimize Domain-Specific Knowledge Bases and Retrieval-Augmented Generation (RAG) pipelines to ensure agents pull from accurate data rather than assumptions.

What Experience You Need

• Experience: 3+ years of professional experience in software quality engineering, test automation, or data/ML engineering, with a dedicated focus on LLM testing, prompt tuning, or orchestration patterns over the last 1–2 years. 

• Agentic & LLM Frameworks: Proven hands-on experience working with LLM orchestration frameworks (e.g., LangGraph, ADKs or specialized internal SDKs).

• Function Calling Mastery: Deep understanding of JSON schema design for LLM tool-calling, function-calling, and structured outputs.

• Advanced Debugging & Automation: Strong background in writing automated test scripts (Python-heavy) and using tracing/observability concepts to debug cascading errors in asynchronous, non-deterministic systems.

What Could Set You Apart

• Experience with AI evaluation and observability platforms 

• Live production experience testing Agentic workflows and GenAI solutions 

• Familiarity with Google Cloud AI suite (Vertex & Gemini Enterprise Agent Platform) and UiPath ecosystem (Maestro).

• Experience utilizing LLMs to securely generate high-quality synthetic data for edge-case testing.

• Proficiency in Python or TypeScript, with a deep understanding of asynchronous programming, API design, and microservices architecture.

• 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].

Who is Equifax? 

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. ​​​​​​​ 

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. 

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.