AI/ML Engineers

We are hiring AI/ML Engineers to build and optimize our LLM evaluation and inference systems. You will work on implementing machine learning models, developing evaluation pipelines, and creating tools that help quantify and improve LLM quality across multiple providers. You'll work directly with the founding team. As an early hire, you'll have high autonomy and visibility, and play a central role in product, research, and engineering strategy. Key Responsibilities Implement and optimize LLM evaluation frameworks and autorating systems. Build ML pipelines for data collection, processing, and model benchmarking. Develop tools for prompt engineering, model fine-tuning, and quality assessment. Integrate with multiple LLM APIs and cloud ML services. Monitor and improve model performance, latency, and cost metrics. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or a related field. 3+ years of professional experience in AI/ML engineering or data science. Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, or similar). Experience with LLMs, NLP, or deep learning systems. Knowledge of cloud platforms and ML infrastructure. Understanding of ML model deployment and monitoring practices. Preferred Qualifications Experience with LLM APIs, prompt engineering, or model evaluation. Background in building production ML systems at scale. Knowledge of transformer architectures and modern NLP techniques. Experience with MLOps tools and practices. Familiarity with distributed computing and data processing frameworks. Previous experience at an AI/ML-focused company or startup.