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AI Engineer

Equifax

Equifax

Software Engineering, Data Science
Alpharetta, GA, USA
Posted on Dec 2, 2025

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.

We are looking for a driven Junior AI Engineer to join our engineering team. In this role, you will focus on building, testing, and deploying autonomous AI agents and multi-agent systems. You will bridge the gap between traditional software engineering and modern Generative AI, working to enable LLMs (Large Language Models) to interact with external tools, APIs, and data sources.

To adhere to our corporate location policies, this resource will be required to be local to the surrounding Atlanta, GA . You are required to adhere to our Return To Office (RTO) / weekly onsite requirements (Tuesday, Wednesday, and Thursday).

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support

What you’ll do

  • Agent Development & Testing: Perform development activities focused on AI Agents, including designing prompt chains, implementing tool-calling logic (function calling), and conducting unit tests for stochastic AI outputs. Work on projects involving RAG (Retrieval-Augmented Generation) and contribution to agent frameworks.

  • Performance Optimization: Participate in the estimation process for AI features. Diagnose and resolve specific AI performance issues, such as latency in LLM responses, token usage optimization, and reducing hallucination rates in agentic workflows.

  • Documentation & Knowledge Sharing: Document agent architectures, prompt templates, and "chains of thought" so that other developers can understand and iterate on the AI logic with minimal effort.

  • Full-Stack AI Integration: Develop and operate scalable AI applications from the backend logic (Python/LangChain) to the API layer, focusing on security (Guardrails) and operational excellence. Ensure agents can reliably execute tasks in a production environment.

  • Modern AI Practices: Apply modern software and AI engineering practices, including LLMOps, evaluation pipelines (Evals), vector database management, and standard CI/CD/Infrastructure-as-code.

  • System Integration: Work across teams to integrate AI Agents with existing internal systems, Data Fabric, and third-party APIs to enable agents to perform "actions" rather than just generating text.

  • Innovation & Agile: Participate in technology roadmap discussions to turn business requirements into functional autonomous agent solutions. Collaborate within a tight-knit engineering team employing agile practices.

  • Debugging & Triage: Triage product issues related to unpredictable model behavior. Debug, track, and resolve issues by analyzing traces (e.g., LangSmith, Arize) to understand the root cause of agent failures or loop errors.

  • Implementation: Able to write, debug, and troubleshoot code in mainstream open-source AI technologies (specifically Python). Lead efforts for Sprint deliverables and solve problems of medium complexity regarding context management and memory.

What experience you need

  • Bachelor's degree or equivalent experience

  • 2+ years of IT engineering e xperience

  • Languages: Proficiency in Python is mandatory. Experience with JAVA is a plus.

  • Frameworks: Familiarity with Agentic frameworks (e.g., ADK, LangChain, LangGraph).

  • GenAI Fundamentals: Understanding of how LLMs work, including Context Windows, Temperature, Embeddings, and Vector Stores (e.g., Pinecone, Milvus, Weaviate).

  • APIs: Experience building and consuming RESTful APIs (assistants interacting with software).

What could set you apart

  • Prompt Engineering & Optimization: Advanced techniques (Chain-of-Thought, ReAct, Tree of Thoughts).

  • Cognitive Architectures: Designing memory systems (short-term vs. long-term) for agents.

  • AI Evaluation: Building automated test suites to grade agent performance.

  • Systems Thinking: Understanding how non-deterministic AI components fit into deterministic software systems.

  • Agile Engineering Best Practices.

#LI-Hybrid

#LI-KC1

We offer comprehensive compensation and healthcare packages, 401k matching, 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!

Primary Location:

USA-Atlanta JV White

Function:

Function - Tech Dev and Client Services

Schedule:

Full time