AI/ML Engineer 1

Job Title: AI/ML Engineer 1

Job Location: Austin, TX

Job Type: Contract

Job Overview:

• Research, prototype, and deliver AI-assisted solutions for engineering tasks across mechanical design, PCB/EE, simulation, documentation, and manufacturing.
• Build and maintain Claude skills, Claude Code workflows, and multi-step LLM pipelines using Claude, ChatGPT, Cursor, and other leading AI tools.
• Write and debug scripts using Ai tools to automate software such as SolidWorks, CREO,
• Maple, Cadence Allegro, Ansys, and other engineering platforms.
• Evaluate new AI tools, models, and APIs as they are released and assess their usefulness for engineering applications.
• Translate vague engineering needs into concrete AI-powered prototypes.
• Document workflows, algorithms, and solutions clearly enough that another engineer can pick up and run with them.

• Bachelor s or Master s degree in any engineering discipline (mechanical, electrical,
• software, systems, industrial).
• Public Demonstrate comfort using AI tools: you have built something real with Claude,
• ChatGPT, Cursor, Copilot, Grok, or equivalent.
• Ability to write and read Python or another scripting language.
• Problem-solving mindset: when handed an unfamiliar tool or platform, your instinct is to
• figure it out, not to wait for someone to teach.
• Strong communication you will need to explain what you built and how and why it works.
• Strong writing skills you will need to write clear reports.
• Being able to generate and explain comparative analysis reports show how the new Ai solution works better than existing non-Ai methods.

• Experience with engineering software such as SolidWorks, CREO, Maple, Altium,KiCad, or similar.
• Familiarity with APIs, prompt engineering, and LLM workflows.
• Experience building automation or macros in any engineering CAD/CAE platform.
• Attitude.
• Excited when handed a problem nobody has solved before.
• Enthusiastic about AI genuinely curious, not just competent.
• Comfortable with ambiguity and rapid iteration.
• Not intimidated by talking to an LLM, debugging a prompt, or diving into an unfamiliar
• codebase.
• Ability to work in a team environment.
• Being able to work under pressure in a very fast paced environment.
• Follow a rigid spec sheet every day.
• Wait for someone to hand you a tutorial.
• Avoid tools just because they are new or unfamiliar.