Jobs at Deffai

We're looking for a Head of AI/ML Engineering to own the technical direction of Deffai's FDA regulatory intelligence platform. This is a deeply hands-on leadership role: You will shape our ML strategy alongside the founding team, write production code and architect our AI systems, while setting technical standards and growing the engineering team over time. You'll own the full ML and data pipeline including data ingestion, eval framework, maintenance and post-deployment monitoring. You'll work with diverse data sources, evaluate our internal intelligence platform with benchmarks and human feedback. If you're excited by hard technical challenges, fast iteration, and the opportunity to define how regulatory AI works at scale — while owning the codebase and building the team that makes it durable — this is a rare chance to do it from the ground up. Build & Ship: Own end-to-end delivery of AI/ML systems in production. Architecture: Drive architectural decisions that balance innovation, scalability, cost, and long-term maintainability in a high-stakes domain. Product Partnership: Partner with the founding team and FDA domain experts on product vision, challenge assumptions, and ensure differentiation beyond general-purpose LLM capabilities. Own the Pipeline: Own the architecture of the data collection and ingestion pipeline that powers the FDA regulatory knowledge base Ingest at Scale: Build robust, scalable pipelines to ingest, extract, and structure heterogeneous regulatory sources into training. Data Quality: Ensure data quality, provenance, versioning, and governance across the corpus, with automated validation and monitoring. Benchmark & Evaluate: Build datasets, define rigorous metrics, and measure model performance across high-impact AI tasks to guide development. Run Human Evaluations: Build scalable pipelines to collect structured human feedback, benchmark subjective quality, and inform model iterations.