Job Description
The Opportunity
We are building the infrastructure for the intelligent future. As a Senior Generative AI Architect, you will lead the design and deployment of next-generation Large Language Models (LLMs) and multimodal systems. Join our elite team in San Francisco to shape the technological landscape of 2026 and beyond.
Why Join Us?
• Work with cutting-edge technology in a fast-paced, high-impact environment.
• Competitive equity package and top-tier benefits.
• Collaborative culture focused on innovation, ethical AI, and scalability.
Key Responsibilities
You will be responsible for the full lifecycle of our AI initiatives, from prototype to production deployment.
Responsibilities
- Design, train, and fine-tune state-of-the-art Generative AI models (e.g., GPT, LLaMA, Claude) for enterprise applications.
- Optimize model inference latency and reduce token costs through advanced quantization and distillation techniques.
- Lead architecture reviews and mentor junior engineers in best practices for MLOps and Deep Learning.
- Collaborate with product and research teams to define roadmap requirements for future AI capabilities.
- Ensure model robustness, fairness, and data privacy compliance (GDPR/CCPA).
- Implement and manage CI/CD pipelines for model deployment using Kubernetes and cloud-native infrastructure.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of professional experience in Software Engineering, with 3+ years focused on AI/ML.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying production-ready NLP models at scale.
- Strong understanding of Transformer architectures, Attention mechanisms, and Reinforcement Learning from Human Feedback (RLHF).
- Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) pipelines.