Founding AI Engineer

As a founding AI engineer, you will define the core technical direction of the first product by selecting models, training strategies, infrastructure, and long-term architecture. You will own end-to-end pipelines from data to training to evaluation and deployment, building scalable systems for real-world usage. You’ll design new model architectures or adapt frontier open-source models and apply state-of-the-art fine-tuning methods (LoRA/QLoRA, SFT, DPO, distillation). You will architect scalable inference stacks (vLLM, TensorRT-LLM, DeepSpeed) and optimize GPU usage for latency and throughput. You will build data systems for high-quality synthetic and real training data, and define alignment, safety, and guardrail strategies. You will design evaluation frameworks across performance, robustness, safety, and bias, and own deployment and scaling policies. You will shape early product directions, experiment with new use cases, and explore frontier techniques like retrieval-augmented training, mixture-of-experts, and multi-agent orchestration.