Job Description
We are looking for a visionary Generative AI Architect (2026 Roadmap) to join our elite engineering team in San Francisco. As the landscape of artificial intelligence evolves towards 2026, we are building systems that don't just process data—they understand, create, and predict.
In this role, you will be at the forefront of the AI revolution, designing scalable, high-performance neural networks that power the next generation of digital experiences. If you are passionate about the future of AI and want to shape the architecture of tomorrow, this is your opportunity.
Why Join Us?
• Competitive compensation package with equity options.
• Work on cutting-edge models that will define the industry in 2026.
• Collaborative environment with industry leaders in Deep Learning.
Responsibilities
- Architect and deploy state-of-the-art Large Language Models (LLMs) and multimodal systems.
- Optimize model inference latency and throughput for real-time applications.
- Design robust MLOps pipelines for continuous training, fine-tuning, and deployment.
- Collaborate with product and research teams to define AI roadmaps aligned with the 2026 vision.
- Research and implement novel architectures in PyTorch and TensorFlow.
- Evaluate and integrate new pre-trained models to enhance system capabilities.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Deep expertise in Natural Language Processing (NLP) and Transformer architectures.
- Strong proficiency in Python, PyTorch, and GPU acceleration (CUDA).
- Experience with vector databases (e.g., Pinecone, Weaviate) and RAG architectures.
- Proven track record of shipping production-grade AI models.
- Excellent problem-solving skills and ability to work in a fast-paced agile environment.