Full-Stack ERP / AI Developer

Employment Type: Full-time, Independent Contractor (Initial 3-month contract, with long-term/permanent extension potential)

Work Model: Remote

Work Hours: US Eastern Standard Time (EST) alignment

Role Overview

We are seeking a senior Full-Stack ERP / AI Developer to lead the ground-up development of a new, highly secure on-premise Enterprise Resource Planning (ERP) platform tailored for aerospace and defense manufacturers.

In this role, you will architect the system of record from scratch, using an existing quality/manufacturing execution system (Bluestreak QMS/MES) as a reference for core business logic while embedding a robust, local AI orchestration layer. Operating in an environment handling Controlled Unclassified Information (CUI), you will design secure on-premise AI inference, RAG pipelines, and strict role-based access controls (RBAC) to enable intelligent data analysis, risk detection, automated quoting, and workflow execution without sending sensitive defense data to unauthorized external systems.

Key Responsibilities

1. Ground-Up ERP Architecture & Database Engineering

System Construction: Architect, design, and build a production-grade on-premise ERP platform from the ground up, translating complex manufacturing, quality, and operational workflows into scalable software.
Database & API Design: Build robust database schemas, complex stored procedures, and data pipelines centered on Microsoft SQL Server, ensuring high performance, data integrity, and secure API boundaries.
Workflow & Logic Mapping: Study existing MES/QMS reference workflows to construct core ERP features, including job history tracking, scheduling, production constraints, and quote generation.

2. On-Premise AI Orchestration & Security Layer

Secure AI Architecture: Build an on-premise AI orchestration layer capable of routing requests, executing local LLM inference, and retrieving document context (RAG) securely within the local environment.
Defense & CUI Compliance: Enforce strict data privacy guardrails to protect Controlled Unclassified Information (CUI), ensuring data is never transmitted to unauthorized third-party cloud models.
Granular RBAC & Auditability: Implement strict Role-Based Access Control (RBAC), user permissions, audit logging, and security tracking to govern AI data access across manufacturing departments.

3. Product Intelligence & Automation

Contextual Data Analysis: Develop AI features that analyze ERP data, interpret complex customer/defense specs, summarize historical jobs, and highlight operational risks.
Workflow Automation: Enable AI capabilities that assist users in drafting business outputs, evaluating scheduling bottlenecks, and eventually executing approved automated business actions.

Required Skills & Qualifications

Experience Level: Senior-level experience as a full-stack engineer with a proven track record of building complex, ground-up enterprise applications, ERPs, or manufacturing systems.
Database Mastery: Deep expertise with Microsoft SQL Server, T-SQL, database architecture, permissions, and performance tuning (mandatory core foundation).
AI / LLM Engineering: Hands-on experience building AI/LLM integrations, local on-premise inference models, Retrieval-Augmented Generation (RAG), and document parsing pipelines.
Security & Infrastructure: Deep understanding of on-premise software deployment, secure API design, RBAC, audit logging, and sensitive data protection (CUI/defense compliance standards).
Communication & Autonomy: Strong written and verbal English communication skills, with the ability to translate intricate manufacturing domain logic into scalable software design.

Preferred Qualifications

Prior experience building or engineering ERP, MES, QMS, industrial, or production management platforms.
Domain exposure to aerospace, defense, or high-compliance manufacturing industries.

Success Metrics (KPIs)

Architecture Velocity: Successfully delivering core database schemas and initial full-stack ERP modules within the 3-month engagement window.
AI Security Integrity: Deploying a functional on-premise RAG/AI orchestration layer with zero unauthorized external data exposure.
Logic Accuracy: Faithfully translating complex manufacturing workflows and reference business logic into clean, performant, and audit-ready code.

Full Stack ERP / AI Developer - 20881