Generative AI Engineer / QA Engineer

Equifax

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Hybrid

Quick summary

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

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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 RAG strategies and prompt engineering. Day-to-day responsibilities include building data pipelines, dashboards, and APIs for real-time analytics while translating business requests into technical solutions. The required technical stack includes Python, LangChain, Java or C/C++, and experience with REST API platforms like Spring or Flask. Candidates should possess expertise in Google Cloud Platform, Linux systems, and advanced concepts such as Transformers and Diffusion Models. This role addresses the challenge of extracting insights from large data sources within a complex big data ecosystem.

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 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+ year 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.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Knowledge of advanced AI concepts including NLP, deep learning, RAG, and generative architectures.
  • Familiarity with Google Cloud Platform (GCP) and Vertex AI tools.

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