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Senior Software Engineer (AI Applications)

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💎 Seniority level: Senior, 8+ years

📍 Location: CA, CO, CT, DE, FL, GA, ID, IL, IN, KY, MA, MD, ME, MN, NC, NH, NJ, NY, OH, OK, PA, RI, SC, SD, TX, UT, VA, WA, or WA D.C.

🔍 Industry: Software Development

🏢 Company: Vanilla Technologies

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSPostgreSQLPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingETLGitJavascriptMachine LearningData engineeringData scienceREST APICommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingAgile methodologiesRESTful APIsMicroservicesExcellent communication skillsData visualizationData modelingSoftware EngineeringData management

Requirements:
  • 8+ years relevant work experience.
  • Proficiency in, at least, one modern programming language such as Python or Javascript.
  • Experience integrating with backend services, and APIs.
  • Experience with OpenAI, ChatGPT or similar software.
  • Strong knowledge of SQL (Structured Query Language) for querying and manipulating data.
  • Experience in data normalization, data cleansing, and data validation techniques.
  • Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation.
  • Experience with API design and implementation for accessing data from external sources.
Responsibilities:
  • Utilize existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results.
  • Work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights.
  • Drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform.
  • Build tooling to support model training, evaluation, inference serving, monitoring and alerting.
  • Use the latest ML frameworks and open source tools to develop new model training pipelines.
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