
Full-Stack Engineer – AI Clinical Research Platform
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Colombia.
• Develop and deploy production features across both frontend and backend systems, maintaining an approximate 50/50 balance.
• Create modern, user-friendly web experiences utilizing React or comparable frontend technologies.
• Design and construct backend services, APIs, data models, integrations, and application logic using technologies such as Python, Node.js/TypeScript, or similar.
• Take ownership of features from inception to completion, encompassing technical design, development, testing, deployment, and ongoing production support.
• Incorporate LLMs and AI functionalities into product workflows, including document processing, classification, data extraction, search, summarization, and workflow automation.
• Develop human-in-the-loop AI experiences that enable users to review, approve, modify, and interact with AI-generated outputs.
• Collaborate with Product, Design, and clinical domain specialists to transform complex clinical workflows into straightforward, scalable software.
• Engage in architecture discussions, code reviews, testing, debugging, and the continuous enhancement of engineering practices.
• A minimum of 4 years of professional software engineering experience.
• Strong practical full-stack development experience with an approximate 50% frontend / 50% backend focus.
• Proficient in a modern frontend framework, particularly React.
• Backend development experience with Python, Node.js/TypeScript, or similar technologies.
• Experience in designing and utilizing REST APIs.
• Solid understanding of relational databases and SQL.
• Proven experience in building and maintaining production SaaS applications.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Strong grasp of contemporary software development practices, testing, debugging, and maintaining code quality.
• Capability to independently oversee features throughout the software development lifecycle.
• Excellent problem-solving and communication abilities.
• Proficiency in English for effective communication with Product Teams, Engineering teams, and Customers.
• Experience with one or more of the following: LLM APIs like OpenAI, Anthropic, or Gemini; AI agents or agentic workflows; prompt engineering and structured outputs; AI-driven document processing or data extraction; retrieval, search, and summarization; human-in-the-loop AI workflows; AI evaluation, monitoring, and observability.
• Experience in deploying AI-enhanced features in a production environment is strongly preferred.
• Background in a startup or high-growth SaaS environment is preferred.
• Experience in healthcare, clinical research, life sciences, or other regulated industries is preferred.
• Proven track record in building workflow-intensive enterprise applications is preferred.
• Familiarity with third-party APIs and system integrations is preferred.
• Experience with document management or document processing systems is preferred.
• Knowledge of event-driven or asynchronous architectures is preferred.
• Experience with production monitoring and observability is preferred.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Opportunities for professional development and career advancement.
• Engaging and inclusive company culture.
• Competitive salary and performance-based bonuses.
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