Generative AI Engineer

Equifax

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Alpharetta, GAAtlanta, GA
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $197k

$131k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $158,350–$235,750.

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 20 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 design and develop key components of generative AI solutions on Google Cloud Vertex AI, integrating diverse data sources into AI-based systems while implementing prompt engineering and RAG strategies to improve accuracy. Your daily work involves integrating capabilities into data pipelines, dashboards, and APIs for real-time analytics. The role requires proficiency in Python, LangChain, and web frameworks like Flask or FastAPI, alongside experience with Google Cloud Platform and big data ecosystems. You will translate business requests into technical solutions while navigating the complexities of financial data analytics. Key technologies include Vertex AI, REST APIs, and various generative architectures to solve complex problems within a rich big data environment.

Skills

Generative AI LLM Vertex AI GCP Python LangChain RAG Prompt Engineering REST APIs Flask FastAPI BigQuery ML Cloud Run Linux NLP Deep Learning Transformers MLOps CI/CD Snowflake

What you'll do

Design and develop Generative AI components on Google Cloud Vertex AI to extract 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 Generative AI 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.
Hands-on experience developing and building Generative AI or LLM-based solutions.
1+ years of experience working within modern cloud environments.
Proficiency in Python and AI frameworks like LangChain.
Familiarity with consuming REST APIs and working with lightweight web frameworks such as Flask or FastAPI.
Strong communication skills to present complex technical concepts to both technical and non-technical audiences.
Master’s degree in a related field (preferred).
Experience with Vertex AI, GCP services, big data platforms, or production-grade software (preferred).

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