Full-Stack Engineer – AI Clinical Research Platform

🔥 1 minute ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tilda Research

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 Series unknown on 2021-03

Healthcare • Artificial Intelligence • SaaS

Tilda Research is an AI-native clinical trials platform that provides “AI teammates” which work alongside sponsors, CROs, and research sites to automate and accelerate clinical operations. Their platform integrates with existing tools and processes to centralize real-time monitoring, improve data quality, simplify site selection and activation, automate workflows (project management, monitoring, data management, finance and site coordination), and maintain regulatory readiness (SOC 2, HIPAA). Tilda positions its product as a way to reduce study timelines and site burden while improving protocol compliance, enrollment visibility, and financial predictability.

📋 Description

• Build and ship production features across the frontend and backend, with approximately a 50/50 split • Develop modern, intuitive web experiences using React or similar frontend technologies • Design and build backend services, APIs, data models, integrations, and application logic using Python, Node.js/TypeScript, or similar technologies • Own features end-to-end, from technical design and development through testing, deployment, and production support • Integrate LLMs and AI capabilities into product workflows, including document processing, classification, data extraction, search, summarization, and workflow automation • Build human-in-the-loop AI experiences that allow users to review, approve, correct, and interact with AI-generated work • Partner with Product, Design, and clinical domain experts to turn complex clinical workflows into simple, scalable software • Participate in architecture discussions, code reviews, testing, debugging, and continuous improvement of engineering practices

🎯 Requirements

• 4+ years of professional software engineering experience • Strong hands-on full-stack development experience with approximately a 50% frontend / 50% backend split • Strong experience with a modern frontend framework such as React • Backend development experience using Python, Node.js/TypeScript, or similar technologies • Experience designing and consuming REST APIs • Strong understanding of relational databases and SQL • Experience building and supporting production SaaS applications • Experience with cloud environments such as AWS, GCP, or Azure • Strong understanding of modern software-development practices, testing, debugging, and code quality • Ability to independently own features across the software-development lifecycle • Strong problem-solving and communication skills • Ability to communicate in English with Product Teams, Engineering teams and Customers • Experience with one or more of: LLM APIs such as OpenAI, Anthropic, or Gemini; AI agents or agentic workflows; prompt engineering and structured outputs; AI-powered document processing or data extraction; retrieval, search, and summarization; human-in-the-loop AI workflows; AI evaluation, monitoring, and observability • Experience shipping AI-powered features into production is strongly preferred • Experience in a startup or high-growth SaaS environment is preferred • Experience with healthcare, clinical research, life sciences, or another regulated industry is preferred • Experience building workflow-heavy enterprise applications is preferred • Experience with third-party APIs and system integrations is preferred • Experience with document-management or document-processing systems is preferred • Familiarity with event-driven or asynchronous architectures is preferred • Experience with production monitoring and observability is preferred

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