AI Engineer

About The Company What's Promptly in a nutshell Promptly is building the first patient-centered global evidence network, offering real world data sharing and monetization capabilities. Together with a selected network of Partners, we generate new knowledge from harmonized datasets, augmented with the collection of longitudinal patient-reported data and patient-generated digital biomarkers within a secure and privacy-preserving environment. We answer the question – is this patient treatment the best it could possibly be? What's Our Purpose We exist to empower every patient and every health organization on the planet with evidence on the outcomes of care! Why do we get up in the morning? Well, most healthcare professionals have chosen to work in healthcare driven by their desire to make a difference in patients' lives. And so have we! We have chosen to follow this calling by addressing the biggest problem in healthcare: the lack of real-world evidence on the outcomes of care. For us, society denying patients better care due to lack of access to data is unethical, in a world where technology improved so many aspects of our world. Making the right evidence available to healthcare organizations to help prevent one lost life, one care complication, one failed treatment is the moral obligation that big tech companies have – it's our Hippocratic Oath. At Promptly, everything we do is driven by our core purpose: to promote better healthcare at lower costs for patients every day, by making health outcomes available. About The Role This role is focused on building internal AI products, automations, and agentic workflows that increase operational efficiency across the company. You will work closely with different departments to identify repetitive work, fragmented processes, manual coordination, and knowledge bottlenecks — and turn them into reliable AI-powered systems. This is not a research role and not only about calling LLM APIs or building demos. We are looking for someone who can take AI capabilities and turn them into production-grade internal tools that people actually use and trust. You should be comfortable working across software engineering, workflows, integrations, product thinking, automation, evaluation, and human-in-the-loop systems. Examples of projects may include: AI copilots for internal teams, automated reporting and operational workflows, AI-assisted sales and customer operations, internal knowledge and search systems, HR and recruiting workflow automation, finance and operations assistants, AI-enabled document processing and approvals, multi-step agentic workflows connected to company systems, and AI tooling to improve how engineers build and ship software. What You'll Do • Design, build, and operate AI-enabled product capabilities across Promptly's platform. • Build LLM-powered workflows, agents, retrieval systems, evaluation pipelines, and automation that solve real healthcare and operational problems. • Work with product, engineering, data, clinical, and customer-facing teams to translate ambiguous needs into working AI systems. • Integrate AI capabilities with existing product surfaces, backend services, data pipelines, APIs, and internal tools. • Build evaluation and feedback loops to measure quality, reliability, latency, safety, cost, and user impact. • Improve context engineering for AI systems, including retrieval, tool use, structured data access, workflow state, and domain-specific instructions. • Design guardrails, review points, and human-in-the-loop workflows for sensitive or high-impact use cases. • Help define practical standards for production AI at Promptly: testing, monitoring, observability, debugging, prompt/version management, and rollout practices. • Use AI coding agents and development tools to accelerate engineering work while preserving code quality and production ownership. • Stay close to the AI development ecosystem, evaluate new tools critically, and help Promptly adopt what creates real leverage. How We Build With AI At Promptly, AI-assisted development is part of how we work. We expect engineers to use coding agents, copilots, code search, AI-assisted debugging, and automated review to move faster through real engineering work. We expect engineers to use AI as part of a modern development workflow, with the same standards of craft, quality, and accountability we apply to any production system. Strong engineers know where AI accelerates the work, where it introduces risk, and where human judgment needs to lead. You own what you ship. You should be able to explain the design, inspect the diff, validate the behavior, check the security and privacy implications, debug failures, and operate the system in production. If you cannot understand it, test it, secure it, and maintain it, you should not merge it. Required What we're looking for • 4+ years of software engineering experience, with meaningful experience building and operating production syst