AI Republic · 22 hours ago
Generative AI Engineer
Responsibilities
Machine Learning / Data Science project delivery - end-to-end ML lifecycle
Hands-on LLM expertise (GPT/BERT/LLAMA, RAG, embeddings, fine-tuning)
MLOps mastery - model deployment pipelines + production monitoring (NOT Kubernetes platform engineering)
GCP ML stack - BigQuery, Vertex AI, Dataflow for scalable AI
Knowledge Graphs or graph-based analytics = GAME-CHANGER
Qualification
Required
Machine Learning / Data Science project delivery - end-to-end ML lifecycle
Hands-on LLM expertise (GPT/BERT/LLAMA, RAG, embeddings, fine-tuning)
MLOps mastery - model deployment pipelines + production monitoring (NOT Kubernetes platform engineering)
GCP ML stack - BigQuery, Vertex AI, Dataflow for scalable AI
Knowledge Graphs or graph-based analytics = GAME-CHANGER
US CITIZEN/GREEN CARD ONLY (W2 onsite Portland)
Production GenAI deployment experience
Proven enterprise ML/Data Science delivery
Company
AI Republic
Hiring elite talent for AI innovation is getting harder and harder: 📈 Demand now far exceeds supply for AI & Data talent with proven experience igniting a war for talent 🚩 Massive increases in resume fraud and fake candidates are increasing the risk of bad hires 🌏 Pressure to reduce spend on professional services can compromise quality of resources 🏢 Return-to-office mandates are shrinking available talent pools AI Republic’s talent solutions are designed to overcome these key challenges and eliminate the risks faced by businesses who need to hire top-tier AI & data talent at speed.
Funding
Current Stage
Early StageCompany data provided by crunchbase