30 sep
|
CaryHealth
|
Argentina
30 sep
CaryHealth
Argentina
About The Role
We're looking for a Fullstack AI Engineer to build AI applications for healthcare workflows. You'll develop retrieval-augmented generation (RAG) systems, agentic workflows, and real-time voice agents, taking features from prototype through production.
This role combines hands-on Python and JavaScript development with a strong understanding of LLM integrations, conversation state, and reliable application architecture. You'll work closely with product and engineering teammates to deliver systems that are useful, measurable, and designed with sensitive healthcare data in mind.
What you'll do
• Design and build RAG pipelines, including document ingestion, chunking, embeddings, vector storage, and retrieval quality testing
• Integrate LLM provider APIs, including Azure AI Foundry, Amazon Bedrock, and OpenAI, balancing quality, cost, and latency
• Develop agentic workflows using LangChain and LangGraph, including tool calling, multi-step orchestration, and persistent conversation state
• Build real-time voice agents using WebSockets,
streaming speech-to-text and text-to-speech pipelines, and platforms such as Retell
• Develop application features and backend services using Python 3.12+ and JavaScript/Node.js
• Design REST APIs and asynchronous processing workflows using message queues such as BullMQ, RabbitMQ, or Amazon SQS
• Implement structured outputs, validation, retries, and fallback behavior to make AI features dependable
• Establish tracing, evaluation, and monitoring to assess model behavior, diagnose failures, and improve performance
• Containerize services with Docker and Docker Compose, and contribute to AWS deployments and CI/CD pipelines
• Collaborate on sprint planning, code reviews, and technical decisions while applying privacy and security practices appropriate for healthcare applications
What you'll bring
Core expertise
• Strong practical experience building RAG systems, with a clear understanding of vector search, embeddings, chun
📌 Full Stack AI Engineer (Argentina)
🏢 CaryHealth
📍 Argentina