Software Engineer - Platform / Applied AI (Full-Stack)

About this kind of role

What a Software Engineer - Platform / Applied AI (Full-Stack) usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains software solutions, often focusing on the underlying infrastructure or platforms that support applications. This role frequently involves integrating artificial intelligence and machine learning models into existing systems or building new AI-powered features. Full-stack responsibilities mean working on both the front-end (user interface) and back-end (server-side logic) components of applications. Collaboration with other engineers, product managers, and data scientists is common.

Tools and skills: Proficiency in programming languages like Python, Java, or JavaScript, experience with cloud platforms (AWS, Azure, Google Cloud), database management, and familiarity with machine learning frameworks is generally expected.

Good fit for: Individuals who enjoy problem-solving, have a strong understanding of software development principles, and are eager to work on complex, innovative projects are often successful in this role.