Job Description
We are on a mission to pioneer the next generation of artificial intelligence. As we look toward the future, we are seeking a Senior Generative AI Engineer to architect scalable, intelligent systems that define the standard for 2026 and beyond.
You will work at the intersection of cutting-edge research and production engineering, deploying state-of-the-art Large Language Models (LLMs) that drive real-world impact across enterprise sectors.
Why Join Us?
- Work with the latest Generative AI technologies.
- Competitive equity package and top-tier compensation.
- Flexible remote/hybrid work environment in the heart of SF.
Responsibilities
- Design and implement robust Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Lead the fine-tuning and optimization of proprietary LLMs using advanced techniques such as LoRA and QLoRA.
- Collaborate with product teams to translate complex AI capabilities into intuitive user experiences.
- Optimize model inference latency and throughput using TensorRT and ONNX Runtime.
- Establish best practices for MLOps, including model versioning, monitoring, and automated retraining workflows.
- Conduct rigorous testing and evaluation of model performance against industry benchmarks.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Natural Language Processing (NLP) and Deep Learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer architectures and attention mechanisms.
- Experience with vector databases (Pinecone, Weaviate) and embedding models.
- Proven track record of deploying AI models to production environments at scale.