IMO Health

Compensation

Full Description

At IMO Health, we combine expertise in software development, data science, and healthcare to create AI-powered solutions that improve access to high-quality health information. We are looking for a Senior Full-Stack Software Engineer, AI Applications to design and deliver innovative applications that enhance patient care and life sciences research. In this role, you will build and optimize scalable, AI-driven software solutions, ensuring performance, security, and reliability. You’ll collaborate in an agile environment, contribute to technical decisions, and solve complex challenges while integrating cutting-edge AI and cloud technologies. WHAT YOU’LL DO: • Develop and enhance AI-powered applications that support healthcare and life sciences innovation. • Ensure applications meet performance, scalability, and security standards, troubleshooting issues as needed. • Integrate AI/ML technologies, including Large Language Models (LLMs) and vector databases, into software solutions. • Collaborate in an agile environment with cross-functional teams to align technical solutions with business needs. • Participate in architectural and design discussions, providing input to ensure scalable, reliable, and secure solutions. • Write clean, testable, and maintainable code following CI/CD and DevOps best practices. • Contribute to automation efforts across testing, integration, and deployment pipelines. • Share knowledge with peers and provide informal mentorship to junior engineers. • Proactively identify opportunities for improving system performance and addressing technical debt. WHAT YOU’LL NEED: • 4+ years of experience in software development, ideally with exposure to AI-based applications. • Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or a related field. • Proficiency in Java, Python, and JavaScript, with experience in frameworks such as Spring (IOC, Security, Boot) and frontend frameworks like React or Angular. • Hands-on experience with cloud platforms (AWS/Azure), containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform). • Strong knowledge of relational databases (MySQL/PostgreSQL), performance optimization, and indexing strategies. • Experience with Redis and Elasticsearch, including use in high-performance systems. • Familiarity with AI/ML applications, including LLM integration and prompt engineering. • Understanding of modern security practices, such as JWT and Zero Trust principles. • Exposure to service governance (e.g., Sentinel, Seata) and feature flag tools (e.g., LaunchDarkly) is a plus. • Strong problem-solving skills with the ability to balance technical quality and delivery needs. • Collaborative mindset with the ability to work across teams and contribute to a culture of continuous learning. NICE TO HAVE: • Experience in healthcare, clinical data, or life sciences NLP use cases. • Exposure to MLOps tools (e.g., SageMaker, Airflow, CI/CD workflows). • Experience with cloud platforms (AWS, Azure). • Contributions to open-source or academic research.