Job Description
The Future of AI is Here.
We are seeking a visionary Senior Generative AI Engineer to join our elite team in San Francisco. As we gear up for the 2026 AI revolution, we are building autonomous agents and multimodal learning systems that redefine human-computer interaction. You won't just be maintaining models; you will be architecting the brain of our next-generation products.
Why Join Us?
- Cutting-Edge Tech: Work with the latest in LLMs, diffusion models, and Agentic AI frameworks.
- Global Impact: Deploy solutions that scale from fintech to healthcare.
- Equity & Benefits: Top-tier compensation package and stock options.
If you are obsessed with pushing the boundaries of Large Language Models and want to define the standard for 2026, we want to hear from you.
Responsibilities
- Architect & Optimize: Design and implement scalable RAG (Retrieval-Augmented Generation) pipelines and fine-tuning workflows for proprietary LLMs.
- Model Governance: Establish robust evaluation metrics and safety guardrails to ensure responsible AI deployment.
- Agentic Systems: Build autonomous AI agents capable of complex reasoning and multi-step decision making.
- Collaboration: Partner with product managers and data scientists to translate business requirements into technical AI solutions.
- Research: Stay ahead of the curve by researching emerging architectures (e.g., MoE, Transformer-XL) and integrating them into our stack.
Qualifications
- Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Technical Stack: Expert proficiency in Python, PyTorch, or TensorFlow with deep experience in Hugging Face and LangChain.
- Experience: 5+ years of experience in NLP, Deep Learning, or Generative AI.
- Language: Strong grasp of English and technical documentation standards.
- Problem Solving: Proven track record of optimizing model latency and throughput in production environments.