> Markdown version of [/jobs/ext/229459-software-engineer-generative-ai](https://www.wearedevelopers.com/jobs/ext/229459-software-engineer-generative-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (Generative AI) - **Company:** Equifax - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, BigQuery, Cloud Computing, Continuous Integration, Data Validation, Data Governance, Data Infrastructure, Data Visualization, Linux, Apache Hadoop, Monitoring of Systems, Python (Programming Language), Open Source Technology, Azure Machine Learning, SQL Databases, Scripting, Google Cloud, Cloud Platform System, Snowflake, Deep Learning, Generative AI, Git, Data Management, Machine Learning Operations, Data Pipelines, Automation Anywhere, Programming Languages - **Published:** May 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=da1e181dd87c6910 ## About the Role Do you have experience in Git?, Do you have a Bachelor's degree?, * BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred * 5+ years of experience as a data engineer or related role * Cloud certification strongly preferred * Advanced skills using programming languages such as Java, Python or SQL and intermediate level experience with scripting languages * Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments * Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects * Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance * Demonstrates advanced Git usage and CI/CD integration skills What could set you apart * 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. ## Description * Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model. * Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems. * Integrate, consolidate, cleanse and structure data for use by our clients in our solutions. * Perform design, creation, and interpretation of large and highly complex datasets. * Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions. * Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions. * Implement security best practices in pipelines and infrastructure. * Develop and implement data quality checks and troubleshoot data anomalies. * Provide guidance and mentorship to junior data engineers. * Review dataset implementations performed by junior data engineers. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [Got AI ideas but no money? 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