Generative AI Engineer

Equifax

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Atlanta, GAAlpharetta, GA
Posted: 16 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $196k

$132k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $158,850–$232,300.

Based on 240 similar postings.

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

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As a Generative AI Engineer, you will join the data and analytics team to build LLM pipelines that generate actionable insights from structured and unstructured data. You will be responsible for designing, developing, and implementing generative AI solutions on Vertex AI while integrating diverse data sources into AI-based systems. Your daily work involves implementing prompt engineering and RAG strategies, integrating capabilities into data pipelines, and creating APIs for real-time analytics. The role requires proficiency in Python, LangChain, and either Java or C/C++, along with experience in REST API platforms like Spring or Flask. You will operate within a big data ecosystem on Google Cloud Platform to solve complex problems involving data analysis and insight generation. Preferred expertise includes knowledge of NLP, deep learning architectures, and financial data analytics.

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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