Generative AI Engineer — Vertex AI Data Pipelines on GCP

Equifax, Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Equifax, Inc. seeks a Generative AI Engineer to build LLM pipelines that generate actionable insights from large data on Google Cloud Vertex AI.

You will design, develop, and deploy GenAI solutions within a cloud-native environment, collaborating across data, engineering, and analytics teams. The role emphasizes integrating diverse data sources, implementing RAG techniques, and delivering AI-enabled analytics through dashboards and APIs.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• 2+ years shipping production-grade software.
• 1+ years deploying solutions on modern cloud environments.
• Proficiency in Python, LangChain, and Java or C/C++.
• Experience with REST API clients and Spring/Flask.
• Strong communication of analytical results to diverse audiences.

Responsibilities

• Develop and deploy GenAI components on Google Cloud Vertex AI to extract insights from structured/unstructured data.
• Integrate diverse data sources into AI/LLM-based solutions using best practices.
• Implement prompt engineering and RAG strategies to improve accuracy.
• Integrate GenAI into data pipelines, dashboards, and real-time analytics APIs.
• Translate business requests into AI-enabled analytical solutions.
• Keep abreast of latest AI advancements and apply to data analysis tasks.
• Communicate complex concepts clearly to technical and non-technical audiences.

Skills

Python

LangChain

Java

C/C++

REST APIs

Spring

Flask

Communication

Education

Bachelor's degree in CS or related field

Job description

Equifax, Inc. seeks a Generative AI Engineer to build LLM pipelines that generate actionable insights from large data on Google Cloud Vertex AI.

You will design, develop, and deploy GenAI solutions within a cloud-native environment, collaborating across data, engineering, and analytics teams. The role emphasizes integrating diverse data sources, implementing RAG techniques, and delivering AI-enabled analytics through dashboards and APIs.