Who Are We:
At Medido Health, we don’t just build software—we transform healthcare. We sit at the intersection of two of the fastest-growing industries: Technology and Healthcare. Our mission is to create secure, intelligent platforms that empower pharmacists, doctors, caregivers, and patients to connect in meaningful ways—anytime, anywhere.
We’re proud to be entering an exciting new phase: integrating AI-powered solutions into our core platform and user portals. From clinical automation to smarter care coordination, we’re harnessing AI to make healthcare more proactive, efficient, and personalized.
Use your skills to save lives and shape the future of AI-powered healthcare solutions. Build it with us.
Position Summary:
The Full-Stack Developer (AI-Oriented) will spearhead the integration of AI capabilities into Medido Health’s core platform, Knostos, and our expanding suite of user portals. This individual will help design and implement AI-assisted workflows, ranging from automated clinical documentation and intelligent triage to chatbot integration and NLP-driven search.

Essential Duties and Responsibilities:

• Lead development of AI-enabled features within the Knostos platform and user portals
• Integrate third-party AI/NLP APIs (e.g., OpenAI, LangChain, Hugging Face, AWS AI)
• Build and maintain RESTful APIs using Java (Spring Boot) or Node.js
• Collaborate with frontend/mobile team developers to surface AI features via an intuitive UI/UX
• Design and prototype intelligent assistants (e.g., note-to-summary, smart routing)
• Work with DevOps to ensure scalable and secure AI deployments
• Monitor and evaluate AI model performance, accuracy, and impact
• Research best practices in AI/LLM integration within healthcare and ensure HIPAA alignment
• Embrace a collaborative, cross-functional environment where you may take on varied responsibilities—from architectural discussions to hands-on coding and product shaping..

Minimum Requirements:

• Bachelor’s degree in Computer Science, Data Science, or related field
• Minimum 4 years in full-stack or backend development
• 1–2 years of experience integrating AI/ML services into production systems
• Proficiency in Java/Spring Boot or Node.js/Express
• Experience with AI/NLP toolkits (e.g., OpenAI APIs, Hugging Face, LangChain)
• Familiarity with RESTful APIs and microservices architecture
• Comfort with Git, CI/CD, Docker, and AWS infrastructure

Preferred Skills:

• Understanding of vector databases and prompt engineering
• Exposure to Elasticsearch and real-time data indexing
• Familiarity with tools like Postman, JMeter, and Bitbucket
• Familiarity with ClickUp or similar tools
• Experience with healthcare data workflows or regulatory-compliant platforms

Work Location:

This position requires daily on-site attendance. Candidates must be able to work in person every day at one of the following office locations:

• Falcon Building @ Al-Bireh/Ramallah, Palestine
• El Amal Plaza @ San Juan, Puerto Rico
• Edificio Sudameris @ Bogota, Colombia

• Lead development of AI-enabled features within the Knostos platform and user portals
• Integrate third-party AI/NLP APIs (e.g., OpenAI, LangChain, Hugging Face, AWS AI)
• Build and maintain RESTful APIs using Java (Spring Boot) or Node.js
• Collaborate with frontend/mobile team developers to surface AI features via an intuitive UI/UX
• Design and prototype intelligent assistants (e.g., note-to-summary, smart routing)
• Work with DevOps to ensure scalable and secure AI deployments
• Monitor and evaluate AI model performance, accuracy, and impact
• Research best practices in AI/LLM integration within healthcare and ensure HIPAA alignment
• Embrace a collaborative, cross-functional environment where you may take on varied responsibilities—from architectural discussions to hands-on coding and product shaping.