Fullstack AI Engineer (Medtech)

TL;DR

Fullstack AI Engineer (Medtech): Building and scaling AI-powered product features to transform patient rehabilitation with an accent on model integration, RAG workflows, and agentic systems. Focus on designing end-to-end AI architectures, optimizing prompt-based interactions, and ensuring system performance in a clinical environment.

Location: Remote. The company lists Argentina, Brazil, and the UK, but indicates Remote (any location).

Company

A mission-driven startup reimagining cardiac and pulmonary rehabilitation through data-driven remote therapy programs, backed by top-tier investors.

What you will do

• Collaborate with clinicians and product teams to identify and implement high-impact AI use cases.
• Rapidly prototype AI solutions using modern tools like OpenAI, Hugging Face, LangChain, and Pinecone.
• Develop and maintain AI agent workflows with a focus on scalability and patient safety.
• Integrate AI capabilities with backend API services to ensure robust and observable deployment.
• Design and manage complex prompt engineering, evaluation, and optimization pipelines.
• Define internal AI technical standards and ethical practices as the first AI-focused hire.

Requirements

• 2+ years of hands-on experience in AI engineering, including RAG, agentic workflows, and model evaluation.
• 5+ years of full-stack or backend engineering experience with a history of technical ownership.
• Deep understanding of LLM internals and foundation model architecture.
• Strong proficiency in Python and experience shipping production software end-to-end.
• Familiarity with the intersection of audio processing and conversational AI.
• English proficiency required for collaboration in a fast-paced environment.

Nice to have

• Experience with voice AI agents using WebRTC/Websockets (e.g., LiveKit, Pipecat).
• Expertise in predictive modeling, statistical analysis, and data mining.
• Knowledge of AWS or Google Cloud infrastructure for scaling AI applications.
• Experience with HIPAA compliance and healthcare data standards like FHIR or HL7.

Culture & Benefits

• Opportunity to work directly with the CTO and CPO on high-impact products.
• Work on meaningful healthcare problems that improve patient lives directly.
• Ownership of the entire AI stack and early-stage architecture.
• Full-time remote work environment with short feedback loops.
• Mission-driven team culture composed of clinicians, data scientists, and engineers.