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Specialized AI agent role in a metro location but at a lesser-known employer, reducing applicant density.
Core GenAI skills transferable but MES/QMS/ERP manufacturing context increases domain specificity.
Explicit 1–3 year requirement plus GenAI and integration skills suggests moderate hiring filters.
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Develop, test, and maintain AI agents within Manufacturing Execution Systems (MES), Quality Management Systems (QMS), and Enterprise Resource Planning (ERP) to execute tasks in Supply Chain, Manufacturing, and Quality domains.
Assist in integrating AI agents with enterprise systems like SAP, MES, QMS, and LIMS via APIs and MCP-based methods following compliance and audit standards.
Support deployment, monitoring, validation, and documentation of AI agents to ensure reliability and GxP compliance, while progressively taking more ownership under guidance.
1–3 years of hands-on development experience including internships, projects, or early professional roles in software or AI development.
Degree in Computer Science, Engineering, Data Science, or related quantitative discipline.
Proficiency in Python programming including coding standards, version control (Git), and testing.
Familiarity with generative AI concepts (LLMs, prompting, RAG, agents), and basic knowledge of SQL and cloud platforms (Azure, AWS, or GCP) is expected.
Early-career developer with demonstrable AI-related projects or internship experience aiming to grow into a full Forward Deployed Engineer (FDE) role in manufacturing and supply chain contexts.
Operates effectively in collaborative, cross-functional teams embedded with business stakeholders in Supply Chain, Manufacturing, and Quality.
Motivated to deliver production-grade, compliant AI solutions with practical problem-solving and iterative learning under senior mentorship.