Generative AI Engineer / QA Engineer

Equifax

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GAAlpharetta, GA
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

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Similar $185k
$132k most similar roles pay here $235k

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Employer

About Equifax

Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.

Equifax currently has 19 open roles on FindRole.

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At a glance

TL;DR · Generative AI Engineer / QA Engineer

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The Generative AI Engineer / QA Engineer will join the data and analytics team to build LLM pipelines that generate actionable insights from structured and unstructured data. The role involves designing, developing, and implementing generative AI solutions on Vertex AI while integrating diverse data sources into AI-based solutions using prompt engineering and RAG strategies. Day-to-day responsibilities include integrating GenAI capabilities into data pipelines, dashboards, and APIs for real-time analytics while translating business requests into technical solutions. The candidate must be proficient in Python, LangChain, and either Java or C/C++, with experience in REST API platforms like Spring or Flask. The work involves navigating a big data ecosystem on Google Cloud Platform to solve problems related to data analysis and insight generation within the financial industry context.

Skills

Generative AI LLM Vertex AI GCP Python LangChain RAG Prompt Engineering REST API Flask Spring Java C++ BigQuery MLOps CI/CD NLP Transformers Linux Snowflake Hadoop

What you'll do

  • Develop and deploy Generative AI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data.
  • Integrate diverse data sources and structures into LLM-based solutions using industry best practices.
  • Implement prompt engineering and Retrieval-Augmented Generation (RAG) strategies to improve model response accuracy.
  • Integrate GenAI capabilities into data pipelines, dashboards, and APIs for real-time analytics.
  • Translate business requirements into technical AI-enabled analytical solutions.
  • Maintain a deep understanding of the latest advancements in generative AI and its applications in data analysis.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.

What we're looking for

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or a related quantitative field.
  • 2+ years of experience shipping production grade software.
  • 1+ years of experience deploying solutions on modern cloud environments.
  • Proficiency in Python, LangChain, and either Java or C/C++.
  • Experience with REST API clients and platforms such as Spring or Flask.
  • Strong communication skills to convey complex technical concepts to both technical and non-technical audiences.
  • Master’s degree in a related field (preferred).
  • Exposure to Vertex AI, GCP AI/ML services, Linux, NLP, deep learning, or big data platforms (preferred).

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