Senior Applied AI Engineer
Core
Design, build, and deploy production-grade AI and LLM-powered features for a global healthcare intelligence platform, ensuring reliability, compliance, and scalability.
Role type
Senior Applied AI Engineer (LLM & Production Systems)
Builds
Production AI/LLM features, internal AI tooling, and scalable backend systems for healthcare organizations.
Domain
Healthcare intelligence, Enterprise SaaS, AI/ML
Deliverable
production ML models | product features | infrastructure
Required skills
LLM integration, prompt engineering, model evaluation, Python, cloud environments (AWS/Azure/GCP), data architecture, scalable backend systems, API design, responsible AI implementation, cross-timezone collaboration
Preferred skills
Vector databases, RAG, model orchestration frameworks, Databricks, Snowflake, lakehouse architectures, healthcare domain experience
Technologies
Python, AWS, Azure, GCP, LLM frameworks, Vector databases, Databricks, Snowflake
Responsibilities
Design and deploy production-grade AI and LLM-powered features; Improve model performance, reliability, observability, and cost efficiency; Collaborate with product and engineering teams to translate business requirements into scalable AI solutions; Establish best practices for model evaluation, prompt engineering, testing, and governance; Mentor engineers and raise the technical bar for applied AI; Evaluate emerging AI capabilities rigorously.
Seniority
Senior, hands-on IC with mentorship responsibilities