AI Engineer jobs in United States
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Equifax · 21 hours ago

AI Engineer

Equifax is seeking a driven Junior AI Engineer to join their engineering team. In this role, you will focus on building, testing, and deploying autonomous AI agents and multi-agent systems while bridging the gap between traditional software engineering and modern Generative AI.

AnalyticsConsultingDatabase
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Responsibilities

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
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
Document agent architectures, prompt templates, and "chains of thought" so that other developers can understand and iterate on the AI logic with minimal effort
Develop and operate scalable AI applications from the backend logic (Python/LangChain) to the API layer, focusing on security (Guardrails) and operational excellence
Apply modern software and AI engineering practices, including LLMOps, evaluation pipelines (Evals), vector database management, and standard CI/CD/Infrastructure-as-code
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
Participate in technology roadmap discussions to turn business requirements into functional autonomous agent solutions
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
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

Qualification

PythonLLMsRESTful APIsAgentic frameworksGenAI FundamentalsDebuggingAgile practicesCognitive ArchitecturesPerformance Optimization

Required

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)
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

Preferred

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

Company

Equifax is a data, analytics, and technology company for automotive, healthcare, and insurance industries.

Funding

Current Stage
Public Company
Total Funding
$1M
2009-09-04Post Ipo Equity· $1M
1971-05-11IPO

Leadership Team

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John Gamble
Corporate Vice President, Chief Financial Officer
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Trevor Burns
SVP Corporate Investor Relations
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Company data provided by crunchbase