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Mid-level, metro AI developer with a common 1–3 year band increases candidate competition.
Technical skills are transferable, but MES/QMS/ERP integrations bias candidates toward manufacturing domain.
Explicit 1–3 years plus GenAI, Python and integration skills create moderate filtering.
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Develop, test, and maintain AI agents integrated within Manufacturing Execution Systems (MES), Quality Management Systems (QMS), and Enterprise Resource Planning (ERP) environments.
Support deployment, monitoring, and performance troubleshooting of AI agents, ensuring reliability and compliance (GxP-aware).
Collaborate with senior developers and business stakeholders to deliver working AI solutions in supply chain, manufacturing, and quality workflows, progressively taking end-to-end ownership.
1-3 years of hands-on software development experience including internships or academic projects focused on AI.
Degree in Computer Science, Engineering, Data Science, or related quantitative discipline.
Proficiency in Python programming with knowledge of coding standards, version control (Git), and testing practices.
Familiarity with generative AI concepts like LLMs, prompting, and retrieval augmented generation (RAG). Exposure to APIs and cloud platforms (Azure, AWS, or GCP) is a plus but not mandatory.
Early-career developer aiming to grow into a Forward Deployed Engineer role with increasing end-to-end ownership of AI agent solutions.
Comfortable working closely with both technical teams and business users in manufacturing and supply chain domains, emphasizing practical impact over prototypes.
Interested and eager to deepen expertise in AI agent technologies and enterprise system integrations within regulated environments.