Role responsibilities
The Generative AI Engineer will design, build, and deploy generative AI solutions that support revenue operations. Responsibilities include creating and evaluating prompts, optimizing model performance, and collaborating with various teams to translate business requirements into scalable AI features.
Requirements
Candidates should have strong machine learning and deep learning skills, particularly with transformer-based models and generative AI. A bachelor's or master's degree in a related field or equivalent practical experience is required, along with proficiency in software engineering fundamentals.
Key skills
Machine Learning, Deep Learning, Generative AI, Python Development, API Design, Version Control, Model Deployment, Cloud Services, Data Pipeline Orchestration, Problem Solving, Analytical Skills, Experiment Design, Communication Skills, Prompt Engineering, RAG Systems, Fine-Tuning Models
Keywords
Generative AI, Machine Learning, Deep Learning, Transformer Models, LLMs, Diffusion Models, Python, API, Git, AWS, GCP, Azure, Data Pipelines, Revenue Operations, CRM, B2B, Model Evaluation, Cloud Services, Data-Driven Initiatives, Prompt Engineering, RAG Systems, Fine-Tuning, Collaboration, Technical Documentation, System Reliability, AI Workflows, Experimentation, Impact Measurement, Analytical Skills, Problem Solving