About The Position

Monti Inc. is a Cincinnati-based copper conductor manufacturer building internal systems for manufacturing, finance, HR, compliance, purchasing, and leadership workflows. The Associate Software Engineer, Intelligent Systems helps design, build, test, and support internal AI-enabled applications, automations, integrations, and workflows. This is an early-career, practical engineering role—not a research machine-learning position. The engineer uses AI coding assistants, cloud platforms, APIs, databases, and business context to deliver useful systems. The role involves reading unfamiliar code, debugging across systems, learning cloud and integration patterns, and working with business users to understand operational needs. The successful candidate will learn Monti’s systems and gradually take ownership of small-to-medium projects. Within the first 90 days, they should understand the engineering workflow, use Codex and Claude Code productively, ship a small automation or AI-assisted workflow with guidance, debug a simple integration or cloud issue, document work clearly, and exercise sound judgment about automation, review, and human approval.

Requirements

  • Strong comfort using AI coding tools such as Codex, Claude Code, ChatGPT, or similar systems.
  • Basic software development experience in one or more languages such as TypeScript, JavaScript, Python, C#, or similar.
  • Familiarity with Git, GitHub, pull requests, and code review workflows.
  • Basic understanding of APIs, databases, authentication, and cloud services.
  • Comfort working in a terminal and reading logs and errors.
  • Ability to learn unfamiliar systems quickly and ask clear questions.
  • Strong written communication and documentation habits.
  • Careful judgment when working with sensitive business data.

Nice To Haves

  • Experience with Azure, Microsoft 365, SharePoint, Teams, Entra ID, or Microsoft Graph.
  • Experience with Terraform or infrastructure-as-code.
  • Experience building small web apps, scripts, internal tools, or automation workflows.
  • Familiarity with SQL and relational databases.
  • Experience using LLM APIs, structured outputs, RAG, agents, or prompt engineering.
  • Exposure to manufacturing, ERP, finance, HR, purchasing, or compliance workflows.
  • Interest in production reliability, monitoring, and secure system design.

Responsibilities

  • Build and maintain internal tools, automations, and AI-assisted workflows.
  • Use Codex, Claude Code, and similar tools as part of daily development.
  • Assist with LLM-powered classification, extraction, summarization, research, and document-processing workflows.
  • Write clear, maintainable code and tests where appropriate.
  • Help integrate systems using APIs, databases, Microsoft 365, SharePoint, Teams, Azure, and third-party platforms.
  • Help debug issues across application code, cloud services, logs, credentials, and data flows.
  • Support production systems through monitoring, documentation, and careful change management.
  • Work with business users to understand workflows before building solutions.
  • Document decisions, setup steps, known issues, and operational procedures.
  • Learn Monti’s systems and gradually take ownership of small-to-medium projects.
  • Help evaluate AI outputs using examples, review steps, and simple quality checks.
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