Generative AI Engineer

Role Overview

We are seeking an experienced Generative AI Engineer to join our team and drive innovation in AI-driven solutions. The ideal candidate will have a strong background in machine learning, deep learning, and generative models, with a proven track record of building and deploying AI systems at scale.

What You Will Do

Design, develop, and deploy cutting-edge Generative AI models, optimize and fine-tune large-scale deep learning models, work with transformer-based architectures, and develop pipelines for data preprocessing, model training, evaluation, and deployment.

Why It Might Be a Fit

Opportunity to work on cutting-edge AI projects with state-of-the-art models, collaborative and dynamic work environment, competitive compensation, stock options, and benefits.

Requirements

• 5+ years of hands-on experience in machine learning, deep learning, or AI development
• Strong expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, JAX
• Experience with NLP, computer vision, multimodal AI, and foundation models
• Proficiency in generative AI techniques, including diffusion models, GANs, VAEs, transformers, and reinforcement learning
• Experience deploying models in cloud environments (AWS, GCP, Azure) and using MLOps tools
• Knowledge of vector databases, prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG)
• Familiarity with Hugging Face, LangChain, OpenAI, Stability AI, or similar frameworks
• Strong problem-solving skills and ability to work in a fast-paced environment

Benefits

• Competitive compensation
• Stock options
• Benefits
• Continuous learning opportunities
• Access to top AI conferences & workshops