AI Engineer - Bay Village
1 day ago

Job description
Role Title:
AI Application Engineer (Agentic AI & Automation)
Domain:
Custom Industrial Automation & Robotics
Job Location:
Cleaveland, Ohio (US Eastern Time Zone)
Assignment Period:
Starting 6 months, extendable to long-term if found fit
Position Summary
This is a greenfield, self-driven role.
AI Engineer will be the first and primary AI Engineer for the organization.
AI Engineer will not just "write code" but will also interview reporting Project Director / Department Heads (Mechanical Engineers using Solidworks, PLC Control Programmers, Project Managers) to understand their bottlenecks, design an Agentic AI solution, and deploy it.
AI Engineer will build Agentic AI models that autonomously query databases, read technical PDFs, Microsoft files, and update ERP systems to reduce manual work by 50 80%.
Design and deploy "Agents" that can reason and act.
Example:
An agent that reads a Mechanical CAD Bill of Materials (BOM), checks stock in the ERP system, and flags long-lead items automatically.
Full-Stack IntegrationConnect AI models (OpenAI / Anthropic) to internal enterprise tools via APIs and SQL.
Target Systems
SOLIDWORKS (CAD), Total ETO (ERP), SAGE (Finance), Smartsheet, and Microsoft 365.
Internal Product Management
Translate vague business problems (e.g., "Quoting takes too long") into a concrete technical roadmap with milestones and delivery dates.
RPA & Scripting
Build "glue code" (Python scripts, ETL jobs, Power Automate flows) to eliminate repetitive data entry between systems.
Collaboration
Act as the technical bridge between the non-technical Project Director and external Enterprise Systems OEMs (ERP Software, CAD Design Software, etc.).
Establish version control (Git).
Write clear documentation for non-technical users.
Train engineering teams on how to use the new tools.
Required Experience & Skills Education
B.E. / B.Tech in Computer Science, Mechatronics, or Software Engineering.
Core Technical Stack (Must Have)
Python Mastery:
Strong grasp of scripting, data structures, and backend logic.
Agentic AI Frameworks:
Proven experience with LangChain, CrewAI, AutoGen, or direct implementation of the OpenAI Assistants API.
Data Integration:
Hands-on experience with REST APIs, SQL, and parsing unstructured data (PDFs, Excel).
Communication
Exceptional English (Verbal & Written).
Ability to explain complex AI concepts to Mechanical Engineers with zero software background.
Project Ownership
Ability to take a project from "Idea" to "Deployed Tool" without day-to-day technical supervision.
Preferred Qualifications (The "Ideal Candidate")
Experience working in a Manufacturing, Supply Chain, or Industrial environment.
Familiarity with low-code tools (Power Automate, Zapier) for quick task automation.
Exposure to engineering software (SolidWorks PDM, PLCs, or ERPs) is a massive plus.
Success Metrics
Reduction in Manual Hours:
Measurable time saved in engineering and quoting processes.
Tool Adoption:
Number of internal users actively using the AI tools daily.
Accuracy:
Reduction in human error (e.g., missed parts in a quote).
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