Senior AI Engineer

Що робити

• Take AI products from problem framing to production — scope the use case, choose the approach (generative AI, classical ML, retrieval, agents, or a hybrid), and ship it
• Design prompts, tools, and retrieval strategies that work reliably in a clinical context, with structured outputs and clear failure modes
• Build the services and APIs that expose AI capabilities to our products, with real attention to latency, cost, and observability
• Shape the data behind each product — sources, schemas, labelling, and quality checks — and build the pipelines that prepare it for training, evaluation, and inference
• Define how quality is measured (offline metrics, golden sets, human review, and live monitoring) and use the results to drive iteration