Generative AI Engineer
Core
Design, develop, and implement generative AI solutions and LLM pipelines to generate actionable insights from structured and unstructured data for business and customers.
Role type
Generative AI Engineer (LLM pipelines)
Builds
GenAI solutions, LLM pipelines, data pipelines, dashboards, and APIs
Domain
Financial services / Generative AI / Cloud-native
Deliverable
production ML models
Required skills
Python, LangChain, REST APIs, Flask/FastAPI, Prompt Engineering, RAG strategies, Vertex AI, GCP, Linux, NLP, Deep Learning, Transformers (via careerplan.io/jobs/J00179159-generative-ai-engineer-at-equifax)
Preferred skills
Java/C++, AutoML, BigQuery ML, Cloud Run, MLOps, CI/CD, LoRA/PEFT, multi-modal AI, model bias mitigation, regulatory compliance (GDPR/AI Act/SEC), credit risk modeling, BI/data visualization
Technologies
Google Cloud Platform (GCP), Vertex AI, LangChain, Flask, FastAPI, BigQuery ML, Cloud Run, AutoML, Hadoop, Snowflake
Responsibilities
Design and develop key components of GenAI solutions on Google Cloud Vertex AI; Integrate diverse data sources into AI/LLM solutions; Implement prompt engineering and RAG strategies; Integrate GenAI capabilities into data pipelines, dashboards, and APIs; Develop and maintain understanding of latest advancements in generative AI.
Seniority
Mid-level, hands-on IC