*Due to the festive break we will be in touch with candidates in January regarding next steps.
Required/Minimum Qualifications
Bachelor's or Higher Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Strong experience in building full-stack technical software products.
Demonstrated expertise in at least one key area of the software development stack, including but not limited to: frontend engineering, backend architecture design, data pipeline management, or distributed systems.
Experience working in cross functional teams and building integrations across diverse product stacks.
Additional or Preferred Qualifications
Demonstrated full-stack experience in delivering scaled software products
Experience in healthcare technology particularly with regulated medical devices
Passionate about conversational AI and its deployment.
Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Responsibilities
Collaborate cross-functionally with product, data, and clinical teams to align on technical priorities and clarify scopes.
Work independently across a wide range of the stack, integrating backend data sources and storage with our inference systems and front-end client endpoints.
Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture.
Balance trade-offs to deliver high-impact solutions in dynamic environments.
Ensure resilience, maintainability, and security above all else.
Build the hiring pipelines, onboarding frameworks, and software development best practices to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement.