AI Engineer
Core
Develop and deploy production-ready AI systems, specifically fine-tuning large language models (LLMs) and building multimodal AI solutions for healthcare applications.
Role type
Senior AI Engineer (LLM & Multimodal Systems)
Builds
Production AI algorithms, voice assistant applications, and conversational interfaces for clinical and patient-facing use cases.
Domain
Healthcare / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, LLM fine-tuning, multimodal system design, speech processing (STT/TTS), vector databases, RAG, API deployment, Azure, data preprocessing, bias evaluation
Preferred skills
Building voice assistants, conversational AI interfaces
Technologies
PyTorch, TensorFlow, Whisper, Elevenlabs, Hugging Face, LangChain, OpenAI, Azure
Responsibilities
Fine-tune and evaluate LLMs for healthcare use cases; Build multimodal AI systems integrating text, medical data, and images; Optimize models for accuracy, latency, and resource efficiency; Develop and productionalize AI algorithms using healthcare-specific data; Process and curate large-scale healthcare datasets; Assess and address model bias, drift, and explainability; Stay current on GenAI and foundation model advances.
Seniority
Mid-Senior, hands-on IC
