Job Description
We are building the operating system for the next decade. We are looking for a visionary Senior Generative AI Engineer to lead the development of next-generation Large Language Models (LLMs) and autonomous AI agents. In 2026, AI isn't just a tool; it's the infrastructure of the digital world. You will be at the forefront of this transformation, designing systems that think, reason, and create.
Why Join Us?
- Work with state-of-the-art architecture and proprietary datasets.
- Competitive equity package in a Series B funded unicorn.
- Flexible remote-first culture with hubs in SF and NYC.
If you are passionate about pushing the boundaries of what's possible with AI, we want to hear from you.
Responsibilities
- Design, train, and deploy state-of-the-art Generative AI models using PyTorch and TensorFlow.
- Optimize model inference latency and reduce costs for large-scale deployment.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy.
- Collaborate with product teams to define AI capabilities and roadmap features.
- Conduct cutting-edge research to stay ahead of the 2026 AI paradigm shift.
- Mentor junior engineers and contribute to the technical culture.
Qualifications
- 5+ years of experience in Machine Learning, Deep Learning, or NLP.
- Strong proficiency in Python and frameworks like PyTorch or JAX.
- Deep experience with Large Language Models (GPT, Llama, Claude) and fine-tuning techniques.
- Experience with Vector Databases (Pinecone, Milvus) and RAG architectures.
- Master’s degree or PhD in Computer Science, Math, or a related field is preferred.
- Excellent problem-solving skills and ability to work in a fast-paced startup environment.