Software Engineer, AI Applications

WHAT YOU'LL DO:

• Develop and maintain AI-driven applications, ensuring high performance, scalability, and accessibility for the life sciences and healthcare domains.
• Research and integrate AI-related tools and techniques (e.g., LLM APIs, prompt engineering) into software solutions.
• Optimize application performance, troubleshoot issues, and ensure security compliance.
• Write quality source code and documentation; contribute to high-level technical designs in collaboration with other engineers.
• Conduct root cause analysis and implement reliable fixes for defects.
• Apply creative, out-of-the-box thinking to improve existing products and address technical challenges.
• Embrace transparency, inspection, and adaptation in an agile environment to deliver quality products.
• Champion software development best practices and technical standards within the team.
• Participate in defining and testing non-functional requirements (e.g., availability, scalability, reliability, maintainability).
• Collaborate with fellow engineers and cross-functional teams to ensure implementations meet business and technical goals.
• Contribute to a culture of trust, accountability, and continuous learning.

WHAT YOU'LL NEED:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Proficiency in Java and/or Python, with a solid understanding of object-oriented programming.
• Foundational knowledge of JVM (memory models, GC tuning, class loading).
• Familiarity with design patterns and software engineering best practices.
• Experience with backend frameworks like Spring Boot and frontend frameworks like Angular, React, or Vue is a plus.
• Experience working with cloud platforms (AWS, GCP, or Azure) is a plus.
• Familiarity with infrastructure tools like Terraform, Kubernetes, Docker, and CI/CD pipelines is a plus.
• Exposure to AI/ML concepts, especially Large Language Models (LLMs) and prompt engineering.
• Knowledge of relational databases (e.g., MySQL, PostgreSQL) and distributed data tools (e.g., Redis, Elasticsearch).
• Enthusiasm for learning about document indexing, search engines, and scalable data systems.
• Eagerness to grow in translating business requirements into technical solutions with mentorship.
• Strong problem-solving mindset and adaptability in tackling new technical challenges.
• Collaborative mindset and active participation in team discussions.
• Demonstrated passion for AI, innovation, and continuous learning.
• Experience or coursework in healthcare or life sciences is a strong plus.