Software Engineer

About the position

Our customers-leaders in the Life Sciences industry-are developing life-changing medicines, therapies, and devices. Our software helps them work more efficiently, collaborate better, and stay compliant with regulations, so they can focus on what matters most: improving lives. We're looking for a Full Stack Software Engineer who's passionate about building great software using AI tools to assist, accelerate the process while creating a great user experience. If you're eager to grow your skills in a collaborative environment and help shape the future of intelligent applications in software, we'd love to meet you.

Responsibilities

• Build and maintain full stack features using React (front end) and .NET MVC (back end)
• Integrate AI-powered features such as predictive analytics, intelligent search, and automated workflows into our asset management platform
• Embed AI tools into the software development lifecycle (SDLC) to assist with code generation, testing, and documentation
• Use natural language processing (NLP) to enhance user interfaces and improve data interpretation
• Collaborate with engineers to deploy and monitor ML models within the application
• Write clean, maintainable code and reusable components
• Participate in code reviews, testing, and documentation
• Optimize applications for performance, scalability, and security
• Support internal JavaScript libraries and contribute to UI/UX improvements
• Follow secure coding practices and data protection protocols

Requirements

• 1 - 3 years experience in software development using AI tools to Design, write code, create unit tests and documentation as part of the SDLC
• Enthusiasm for leveraging AI/ML to enhance software development workflows, drive intelligent automation, and create smarter user experiences
• Solid understanding of React, JavaScript, HTML/CSS, and C#/.NET MVC
• Familiarity with version control (e.g., Git), debugging, and testing tools
• Strong communication and collaboration skills
• Willingness to learn and grow in a fast-paced, mission-driven environment
• Exposure to AI tools like OpenAI, Claude, Loveable, or ChatGPT
• Experience with AI-assisted development environments (e.g., GitHub Copilot)

Nice-to-haves

• Familiarity with Azure cloud services and scalable architecture
• Interest in IoT tools like MQTT or Node-RED
• Understanding of microservices, Docker, or Kubernetes
• Awareness of OWASP security principles and multi-tenant applications