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.
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.
- 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, chunking strategies, and retrieval tradeoffs.
- Hands‑on experience integrating LLM provider APIs and shipping AI features into production.
- Experience with LangChain and LangGraph for orchestrating stateful LLM workflows.
- Experience building real‑time voice applications, including streaming, turn‑taking, interruption handling, and latency optimization.
- Familiarity with message queues and reliable background processing.
- Working k

📌 Full Stack Ai Engineer (Argentina)
🏢 CareTria
📍 Argentina