Senior AI Engineer

Architect and ship production-grade agentic AI workflows, including tool use, orchestration, planning, memory, and structured outputs, for clinical trial intelligence use cases. Translate user workflows and product requirements into pragmatic, measurable AI solutions that work reliably in production and optimize for user and business value. Design and maintain evaluation pipelines, including gold sets, metrics, and experiments, and use them to drive iteration with rigor. Implement robust LLMOps practices, including tracing, monitoring, cost and latency management, safe deployment, and continuous improvement of AI systems in production. Design high-quality retrieval and context pipelines with strong guarantees on correctness, provenance, and auditability, particularly in regulated environments such as clinical trials. Collaborate closely with Engineering, Product, Design, Sales, and Customer teams to ensure AI features are usable, trusted, and commercially impactful. Stay deeply current with the LLM ecosystem, actively experiment with new models and tools, and translate innovation into practical product advantage.