Staff Full-Stack Software Engineer, AI Applications

WHAT YOU'LL DO:

• Develop and optimize AI-powered applications that drive innovation in healthcare and life sciences.
• Ensure high performance, scalability, and security, troubleshooting issues and implementing best practices.
• Integrate AI/ML technologies, including Large Language Models (LLMs) and vector databases, into software solutions.
• Collaborate in an agile environment, working closely with cross-functional teams to align technical solutions with business needs.
• Lead and participate in architectural and design decisions, ensuring alignment with industry best practices.
• Write clean, testable, and maintainable code, following CI/CD and DevOps principles.
• Mentor and guide junior engineers, fostering best practices and technical excellence.
• Implement automation strategies across testing, integration, and deployment.
• Champion technical standards and advocate for best practices in cloud computing, security, and microservices architecture.
• Proactively address technical debt and drive continuous improvement in system performance and reliability. 

WHAT YOU'LL NEED:

• 5+ years of experience in software development, with a focus on 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 expertise in JVM internals, Spring Framework (IOC, AOP, Security, Boot), and frontend frameworks (React/Angular).
• Hands-on experience with cloud platforms (AWS/Azure), containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).
• Deep understanding of MySQL/PostgreSQL performance optimization, transaction control, and indexing strategies.
• Advanced knowledge of Redis (RedLock, Stream persistence, hot key detection) and Elasticsearch (vector search, cross-cluster search optimization).
• Experience in AI/ML applications, including LLM integration, prompt engineering, and vector databases.
• Proficiency in security best practices, including Zero Trust Architecture and JWT token binding.
• Expertise in service governance, including Sentinel for dynamic rate limiting and Seata for distributed transactions.
• Experience with feature flag management tools (e.g., LaunchDarkly).
• Strong problem-solving mindset, capable of balancing technical debt, delivery speed, and business needs.
• Ability to mentor junior engineers and foster a culture of continuous learning.