AI Full Stack Engineer
Core
Design, develop, and deploy end-to-end AI-powered healthcare solutions integrating LLMs, voice, image, and RAG capabilities into enterprise applications.
Role type
Senior AI Full Stack Engineer (Healthcare)
Builds
Scalable AI applications, AI agents, data pipelines, and autonomous workflows for healthcare clients.
Domain
Healthcare + Generative AI / LLMs
Deliverable
production ML models | product features
Required skills
Python, LLM development (GPT-3.5, GPT-4, o1), RAG (LangChain, LlamaIndex, vector DBs), MLOps, AI system evaluation (precision, recall, F1-score, AUC-ROC), prompt engineering, model fine-tuning, AI coding tools (Copilot, Cursor), Node.js (Express.js), cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, Git.
Preferred skills
Healthcare domain expertise, Node.js web application development, cloud platform proficiency, Git/Docker/Kubernetes experience.
Technologies
Semantic Kernel, PyTorch, TensorFlow, Windsurf, GitHub Copilot, Cursor, Codeium
Responsibilities
Build scalable solutions integrating LLMs and AI capabilities (voice, document/image parsing, TTS) into codebases; design and optimize data pipelines for AI; refine prompts and implement caching; fine-tune and serve GPT-family and Llama models; develop AI agents; prototype copilot-style experiences; document code and applications.
Seniority
Senior, hands-on IC