GenAI Engineer & QA, Vertex AI

Socket.dev; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

Equifax is seeking a dynamic Generative AI Engineer to build and deploy GenAI solutions on Google Cloud Vertex AI, processing large data sources to deliver actionable insights for business users.

You will work with cloud-native GCP tools, integrate diverse data sources, and implement RAG and prompt engineering to improve response accuracy. Strong communication skills are essential, and sponsorship is not available.

Qualifications

• Bachelor’s degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or related field.
• 2+ years in 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 platforms such as Spring/Flask.
• Strong communication of analytical results to technical and non-technical audiences.

Responsibilities

• Develop and deploy GenAI components on Google Cloud Vertex AI to extract insights from data.
• Integrate diverse data sources into AI/LLM-based solutions following best practices.
• Implement prompt engineering and RAG strategies to improve accuracy.
• Embed GenAI capabilities into data pipelines, dashboards, and real-time analytics APIs.
• Translate business requests into AI-enabled analytical solutions.
• Stay updated on AI advancements and relate them to business use cases.
• Communicate complex concepts clearly to technical and non-technical audiences.

Skills

Python

LangChain

Java

C/C++

REST API

Spring/Flask

Vertex AI

Education

Bachelor's degree in CS/EE/Math

Master's degree (advantage)

Tools

GCP Vertex AI

Job description

Equifax is seeking a dynamic Generative AI Engineer to build and deploy GenAI solutions on Google Cloud Vertex AI, processing large data sources to deliver actionable insights for business users.

You will work with cloud-native GCP tools, integrate diverse data sources, and implement RAG and prompt engineering to improve response accuracy. Strong communication skills are essential, and sponsorship is not available.