Equifax · 5 hours ago
Generative AI Engineer
Atlanta, GA
Full-time
Hybrid
Entry, Mid Level
2+ years expEquifax is seeking a dynamic and driven individual to serve as a Generative AI Engineer. This role involves leveraging data, technology, and analytics to build LLM pipelines that generate actionable insights for the business and customers, while working with large data sources on Google Cloud Platform and implementing cutting-edge generative AI solutions.
AnalyticsConsultingDatabase
No H1B
Responsibilities
Develop and deploy key components of GenAI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data
Integrate diverse data sources, data types, and data structures into AI / LLM based solutions, using data and technology best practices
Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy
Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics
Understand how business requests translate into AI-enabled analytical and technical solutions
Develop and maintain a deep understanding of the latest advancements in AI, particularly in generative AI and its applications in data analysis and insight generation
Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences
Qualification
Required
Bachelor's degree or higher in Computer Science or Computer Engineering, Statistics, Mathematics, or a related quantitative field
2+ years in shipping production grade software
1+ years experience in deploying solutions on modern cloud environments
Ability to learn and apply new technologies; passion for staying abreast of the latest advancements in Generative AI research and technology; passion for AI research and a strong desire to contribute to cutting-edge projects
Proficiency in Python, LangChain, and either Java or C/ C++
Experience with REST API clients and platforms such as Spring/ Flask
Strong communication skills of analytical results to technical and non-technical audiences alike
Preferred
Master's degree in a related field is a strong plus
Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
Strong foundational skills in Linux Operating System
Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
Background in credit risk, financial data analytics or risk modeling
Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
Experience in Business Intelligence, data visualization, and customer insights generation
Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance)
Experience with MLOps practices, model monitoring, and CI/CD for AI workflows
Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT)
Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures
Contributions to the AI community through publications, open-source projects, or conference presentations
Company
Equifax
Equifax is a data, analytics, and technology company for automotive, healthcare, and insurance industries.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1M2009-09-04Post Ipo Equity· $1M
1971-05-11IPO
Leadership Team
John Gamble
Corporate Vice President, Chief Financial Officer
Justin Demola
Senior Vice President, Mortgage and Housing
Recent News
2026-01-23
2026-01-06
Company data provided by crunchbase