Staff AI Engineer
Core
Architect, develop, and optimize production-grade AI solutions (LLMs, multimodal systems, agentic frameworks, STT/TTS) for healthcare platforms, serving clinical teams and health systems.
Role type
Staff AI Engineer (Healthcare)
Builds
Production AI models, voice-enabled virtual assistants, agentic workflow automation, and cloud-based AI infrastructure for hospital IT ecosystems.
Domain
Healthcare / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
LLMs and transformer-based NLP, multimodal learning architectures, agentic AI systems (CrewAI, LangChain, LangGraph), STT/TTS models, Python, PyTorch/TensorFlow/Hugging Face, MLOps, container orchestration, healthcare data standards (FHIR, HL7, SNOMED, ICD-10)
Preferred skills
C++, Azure cloud infrastructure, Langfuse/Prometheus/Grafana, A2A protocols, MCP
Technologies
Azure, LangChain, LangGraph, CrewAI, Whisper, Tacotron, FastSpeech, DeepSpeech, PyTorch, TensorFlow, Hugging Face, Langfuse, Prometheus, Grafana
Responsibilities
Architect and develop AI models trained on clinical datasets; Design and train STT/TTS models for voice applications; Integrate and optimize agentic systems for workflow automation; Lead model lifecycle from ingestion to deployment; Establish scalable CI/CD pipelines and GPU-optimized runtimes; Set up observability tools for model monitoring and anomaly detection; Ensure AI solutions adhere to HIPAA, GDPR, and privacy standards; Mentor junior engineers and drive technical leadership.
Seniority
Staff, hands-on IC with technical leadership