Job Description
We are seeking a visionary Senior Generative AI Engineer to join our elite team in San Francisco. As we gear up for the technological landscape of 2026, we are building the next generation of intelligent systems that will redefine human-machine interaction. You will be at the forefront of the AI revolution, working on cutting-edge Large Language Models (LLMs) and multimodal architectures.
In this pivotal role, you will bridge the gap between theoretical AI research and production-grade applications. If you are passionate about ethical AI, scalable infrastructure, and building the future, we want to hear from you.
Responsibilities
- Architect and deploy scalable Generative AI models, including fine-tuning and RAG (Retrieval-Augmented Generation) pipelines.
- Optimize model inference for low-latency, high-throughput environments, ensuring robust performance under heavy load.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products and enterprise solutions.
- Lead technical strategy for AI research initiatives, staying ahead of the curve on emerging trends in 2026 and beyond.
- Ensure model transparency, fairness, and security in all deployed applications.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in Deep Learning, NLP, or Generative AI.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Transformer architectures, LLMs (e.g., GPT, BERT, Llama), and diffusion models.
- Experience with cloud platforms (AWS, GCP) and containerization tools (Docker, Kubernetes).