Associate AI Developer

St Onge Company• US,

About The Position

St. Onge Company's Application Development team builds and maintains internal tools used by consultants and staff and leads the company's AI strategy. The Associate AI Developer is an entry-level role for someone interested in applying AI to practical business problems. The role combines application development with researching, evaluating, and implementing AI tools, and helping teams across the company adopt them. The developer will contribute to company-wide AI practices and initiatives, assess tools and platforms against business needs, and build AI proofs of concept, integrations, and automations. They will work with engineering and administrative teams to identify useful applications, support rollout and training, monitor adoption and impact, and follow data security, privacy, and responsible-use practices. The role also develops and maintains features in an internal web platform using React, Node.js/Express, and Django; works with SQL Server and ERP data; assists with database strategy research, deployments, testing, and troubleshooting; and supports Power BI reporting where AI or automation can help. The schedule is typically Monday through Friday, 8 a.m. to 5 p.m. St. Onge offers hybrid and remote office options. Travel is less than 10% annually, and projects may involve lifting materials up to 20 pounds.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • Working knowledge of at least one modern programming language, such as JavaScript/TypeScript or Python.
  • Some exposure to web frameworks such as React, Node.js, or Django through coursework, projects, or internships.
  • Basic SQL skills.
  • Familiarity with Microsoft 365 tools, including SharePoint, Teams, and Power Automate.
  • Hands-on experience using AI tools such as LLM chat assistants, coding assistants, or AI APIs, and genuine interest in applying them at work.
  • Clear communication skills, including the ability to explain technical ideas to non-technical colleagues.
  • Willingness to learn quickly and work independently on open-ended problems.

Nice To Haves

  • Experience calling LLM APIs, writing prompts for production use, or building simple agents or automations.
  • Experience building Power Automate flows, Power Apps, or SharePoint solutions, or working with Microsoft Copilot or Copilot Studio.
  • Familiarity with SQL Server, Azure and Azure AD, or IIS.
  • Exposure to Power BI and DAX.
  • Experience with other modern languages such as C# or Go.
  • Git and basic CI/CD experience.
  • Interest in supply chain, logistics, or consulting.

Responsibilities

  • Contribute ideas, define processes, set priorities, document best practices, and serve as a resource for AI questions across the company.
  • Research and evaluate AI tools, models, and platforms against business needs, and recommend what to adopt, pilot, or skip.
  • Build proofs of concept and production integrations that bring AI into existing workflows, including LLM-powered features, document processing, and automation.
  • Work with engineering and administrative teams to identify repetitive or time-consuming work that AI could reduce.
  • Build and extend AI-powered automations and solutions within Microsoft 365, including Copilot, Copilot Studio, Copilot Cowork, SharePoint, Power Automate, and Teams.
  • Help roll out AI tools company-wide through setup, documentation, training materials, and hands-on support.
  • Track adoption and impact of AI tools and initiatives.
  • Follow data security, privacy, and responsible-use practices, especially when client data is involved.
  • Develop and maintain features in the internal web platform built with React, Node.js/Express, and Django.
  • Write and optimize SQL Server queries and stored procedures, including work against ERP data.
  • Help research database strategy, including whether to move to the cloud or remain on-premises.
  • Assist with deployments, testing, and troubleshooting in an IIS-hosted, Azure AD-authenticated environment.
  • Support Power BI reporting needs where AI or automation can help.
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