Job Description
We are pioneering the next wave of intelligent systems. As a Lead Generative AI Architect, you will define the technical roadmap for our 2026-era AI infrastructure, ensuring scalability, ethical standards, and cutting-edge performance. You will work at the intersection of deep learning, large language models (LLMs), and scalable cloud architecture to build the future of human-machine interaction.
Why Join Us?
- Work on state-of-the-art Generative AI models.
- Competitive equity package.
- Flexible remote-first policy with HQ in San Francisco.
Responsibilities
- Architect and deploy scalable Generative AI pipelines using PyTorch and TensorFlow.
- Lead a team of ML engineers and researchers in developing proprietary LLMs.
- Optimize model inference latency and resource efficiency for production environments.
- Establish best practices for AI ethics, bias mitigation, and data privacy.
- Collaborate with product managers to translate business needs into technical solutions.
- Stay ahead of industry trends in NLP, Computer Vision, and Multimodal AI.
Qualifications
- PhD or Master’s degree in Computer Science, AI, or a related quantitative field.
- 7+ years of experience in software engineering with a focus on Machine Learning.
- Deep expertise in Large Language Models (GPT, BERT, Llama, etc.) and fine-tuning techniques.
- Proficiency in Python, C++, and SQL.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong leadership skills with a track record of mentoring high-performing technical teams.