Generative AI Engineer

What you'll do

What experience you need

What could set you apart

Responsibilities

• Design and develop key components of GenAI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data, and collaborate with engineering teams on deployment.
• 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, 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.
• What experience you need
• Bachelor’s degree or higher in Computer Science or 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 (e.g., LangChain).
• Familiarity with consuming REST APIs and working with lightweight web frameworks (e.g., Flask, FastAPI).
• 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.
• Strong communication skills to present analytical results to technical and non-technical audiences alike.
• What could set you apart
• Master’s degree in a related field is a strong plus.
• Experience contributing to production-grade software or enterprise deployments.
• Experience with additional programming languages such as Java or C/C++.
• Exposure to 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.
• We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
• Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
• Primary Location:
• Function