Role Overview

As an AI-Native Software Developer, you will design, develop, and maintain high-quality software while effectively leveraging AI to accelerate engineering productivity and enhance software capabilities. You will integrate AI-powered services into applications, validate AI-generated outputs, and apply responsible AI principles to deliver reliable, secure, and scalable healthcare solutions. You will collaborate with cross-functional teams to deliver innovative products while continuously adopting emerging AI technologies and modern engineering practices.

Responsibilities

Analyze business and technical requirements and identify opportunities to incorporate AI capabilities where they add value.
Design, develop, and maintain secure, scalable, and high-quality software solutions using modern engineering practices.
Leverage AI-assisted engineering practices to improve productivity while validating AI-generated code, tests, and documentation.
Integrate AI-powered features, services, or intelligent agents into applications using enterprise AI platforms and context engineering principles.
Ensure software quality, reliability, and performance through automated testing, continuous delivery, and validation of AI-enabled features.
Apply secure coding and responsible AI practices to ensure privacy, compliance, and trustworthy AI solutions.
Collaborate across global teams and continuously adopt emerging technologies to drive engineering excellence.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or related discipline.
4–7 years of experience in software development using modern engineering practices.
Strong understanding of software architecture, object-oriented design, and design patterns.
Experience developing enterprise-scale cloud-native applications.

Skills

C#
.NET Core
Microsoft Azure
React
Large Language Models

Nice to Have

Experience developing healthcare software or regulated products.
Familiarity with medical device software standards and secure software development practices.
Exposure to AI agents, workflow automation, or enterprise AI platforms.
Contributions to open-source projects or developer communities.