AI Engineer

Reposted 24 Days Ago
30005, Alpharetta, GA, USA
In-Office
Junior
Fintech • Consulting
The Role
The AI Engineer will develop, test, deploy, and maintain AI solutions, focusing on performance optimization and system integration while ensuring high-quality documentation and knowledge sharing.
Summary Generated by Built In

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.

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

We are looking for a strong/ driven AI Engineer to bridge the gap between theoretical data science and production-ready software. In this role, you will focus on building, testing, deploying and maintaining  scalable AI solutions that solve problems. The ideal candidate is someone who can navigate the complexities of machine learning frameworks while maintaining the disciplined mindset of a software engineer.

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 experience

  • 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.

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

Skills Required

  • Bachelor's degree or equivalent experience
  • 2+ years of IT engineering experience
  • Proficiency in Python
  • Experience with JAVA
  • Familiarity with Agentic frameworks (e.g., ADK, LangChain, LangGraph)
  • Understanding of how LLMs work
  • Experience building and consuming RESTful APIs

Equifax Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Equifax Inc. and has not been reviewed or approved by Equifax Inc..

  • Retirement Support Savings programs include a 401(k) with company matching and, in some contexts, profit-sharing or pension components. These are described as solid parts of the total package.
  • Parental & Family Support Programs include paid parental leave for birth and non-birthing parents and adoption assistance. Company materials highlight these benefits as part of a family-supportive offering.
  • Flexible Benefits Multiple medical plan choices, dental and vision options, FSAs/HSAs, and voluntary supplemental coverages enable customization. The company publishes plan summaries and SPDs to help compare cost and coverage by location and tier.

Equifax Inc. Insights

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The Company
HQ: Atlanta, GA
16,742 Employees

What We Do

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.

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