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AI Application Engineer at IS International Services. The AI Application Engineer acts as a "Force Multiplier" for the engineering and operations teams. Reporting to the CTO (Chief Technology Officer), this role bridges the gap between hardware design, software execution, and field delivery. .  . You will be responsible for building practical, high-impact automation tools that eliminate manual drudgery. This includes developing AI-assisted workflows (RAG pipelines), automating CAD/BOM generation, and creating intelligent field support agents. This role is for a pragmatic builder who enjoys turning messy, real-world engineering processes into streamlined software solutions. . Essential duties and responsibilities include, but are not limited to the following: .  . Design & Hardware Automation . o   Workflow Scripting: Develop Python-based tools to automate the generation of 2D installation drawings (GA layouts, conduit entries) and site-specific Bills of Materials (BOMs) to reduce human error. .  . o   Technical Assistants (RAG): Build and maintain "Design Standard" chatbots utilizing Retrieval-Augmented Generation (RAG) to help engineers quickly query complex codes (UL 9540, NFPA 855, IEEE 693) with strict accuracy guardrails. .  . o   Logistics Optimization: Collaborate with logistics teams to build data-driven tools that optimize container weight and shipping configurations during the design phase. . SW / FW Code Generation & Deployment Automation . o   Automation Playbooks: Develop process for generating Automation Playbooks for software and firmware deployment and configuration (e.g. using Ansible or similar technology) of on-premises systems. .  . o   Industrial System Code Generation: Develop process for generating Structured Text language from modbus maps for use with Codesys  . Field & Operations Intelligence . o   Next-Gen Documentation: Move beyond static PDFs by creating pipelines that automatically assemble dynamic O&M manuals and commissioning checklists from engineering data sources. .  . o   Field Support Agents: Prototype and deploy "Q&A" agents that allow field technicians to query torque specs, installation procedures, and troubleshooting steps via natural language. .  . o   Feedback Loops: Create data pipelines that capture field evidence (logs, photos) and systematically feed that data back to the design team to improve future product iterations. . Data & Commissioning . o   Digitized Commissioning: Build tooling to generate, validate, and track precommissioning checklists and power-up sequences. .  . o   Data Virtualization: Standardize fleet operational data to ensure it is formatted correctly for future machine learning analysis and model validation. . Performs other related duties as assigned.  . Knowledge, Skills, & Abilities .  . To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. .  . Technical Competencies . o    Core Coding: Strong proficiency in Python. Familiarity with APIs (REST), file parsing, SQL, and data structuring (JSON/XML/Pandas). .  . o    AI & LLMs: Demonstrated experience building practical applications using LLMs (OpenAI API, Anthropic, LangChain) and vector databases. Understanding of prompt engineering and hallucination mitigation. .  . o    Document Pipelines: Experience with programmatic document generation (templating engines, LaTeX, PDF generation, or Docs-as-Code). .  . Power Systems & Engineering  . o    Domain Fluency: Ability to read Single Line Diagrams (SLDs) and understand fundamental power system terminology (kV, MW, MWh, Transformer, Inverter). .  . o    Hardware Awareness: Familiarity with basic electrical components (cables, switchgear, protection relays) allows you to "speak the language" of the engineers you are supporting. .  . o    CAD Automation: Exposure to scripting within CAD environments (AutoCAD, SolidWorks, or Revit APIs) is a significant plus. . Professional Attributes . o    The Translator: Ability to listen to a Mechanical or Electrical Engineer describe a bottleneck and translate that into a software requirement. .  . o    Pragmatic Innovator: You view AI as a utility tool, not a magic wand. You prioritize safety, accuracy, and utility over hype. .  . Education & Experience .  . •       Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Mechanical Engineering. .  . •       0–2 years of experience (Internships and Capstone projects count). .  . •       Must be able to demonstrate or discuss a project where you used software/AI to solve a real-world workflow problem. .  . Physical Requirements & Work Environment .  . The physical demands and work environment characteristics described herein are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. .  . •       Regularly required to stand and walk, with frequent lifting or moving of up to 25 pounds and occasional lifting of up to 50 pounds.  .  . •       The noise level in the work environment is usually moderate to loud. Hearing protection may be recommended and/or required in some work locations. .  . •       Domestic and international travel may be required. .  .  . Company Location: United States.