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