As a solution engineer, you will be engineering full-stack ai-driven web applications. You will be working directly with our customers to design, develop, and deploy production applications, demos, and proofs-of-technology.
an ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills.
responsibilities:
• develop and deploy full-stack, ai-based enterprise applications on the c3 ai platform
• mentor junior team members on coding standards and design techniques
• conduct design and development reviews of customer software applications
• test, troubleshoot, and enhance customer software applications with and on behalf of customers
• deliver technical deep-dives, demonstrations, and customer training
• write application specifications and documentation
• continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs.
qualifications:
• bachelor's degree in a science, technology, engineering or mathematics (stem), or comparable area of study
• 2+ years of professional software development experience with object oriented programming languages
• strong verbal and written communication, and ability to work effectively on a cross-functional team
• analytical and problem-solving abilities
• organizational skills and attention to detail
• ability to travel as needed
preferred qualifications:
• graduate degree in science, technology, engineering or mathematics (stem), or comparable area of study
• experience deploying enterprise scale applications
• experience working in a customer-facing role
• software development experience with javascript and python
• experience with git or other version control software
• experience working with javascript frameworks such as react, redux, vue, backbone, or angular
• experience deploying software to least one of the leading cloud computing platforms (i.e., gcp, aws, azure)
• understanding of sql and nosql databases
• proficiency in data structure and algorithm design and implementation
• proficiency in time-series data analysis, cleansing, and normalization
• working knowledge of agile software development methodology
• solid understanding of common machine learning techniques, applications, and trade-offs
• domain expertise in one or more of the following industries: aerospace, financial services, healthcare, industrial manufacturing, oil & gas, public sector, power & utilities, supply chain, telecommunications