Full Stack Developer with Generative AI Expertise

5 days ago

Shanghai, Shanghai, China Bosch Full time
Job Overview

At Bosch, we're seeking a highly skilled Full Stack Developer with expertise in Generative AI to join our team. As a key member of our software development team, you will be responsible for designing, developing, and implementing complex use cases and algorithms using Generative AI and other technologies.

Key Responsibilities
  • Design and develop complex use cases and algorithms using Generative AI and other technologies.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conduct research and stay up-to-date with the latest advancements in Generative AI technology.
  • Develop server-side logic and APIs using modern programming languages such as Python, Java, or C#.
  • Test and debug Generative AI models to ensure accuracy and reliability.
  • Build and maintain databases and data models to support application functionality.
  • Perform code reviews and ensure code quality, scalability, and security.
  • Troubleshoot and debug issues reported by users and provide timely resolutions.
  • Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.
Requirements
  • 3-5 years of experience in full stack development and coding use cases.
  • Strong knowledge of Generative AI concepts and techniques.
  • Proficiency in Python, Java, or other relevant programming languages.
  • Experience with database systems (e.g., MySQL, PostgreSQL, MongoDB) and ORM frameworks.
  • Familiarity with version control systems (e.g., Git) and agile development methodologies.
  • Understanding of web application architecture and RESTful API design principles.
  • Familiarity with AI toolkits and frameworks.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and in a team environment.
  • Knowledge and experience in Machine Learning Algorithms is preferred.

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