AI Rapid Prototype Developer Level 1

ARCXIS

Houston, TXFresher6h agovia LinkedIn

Posted 12 Nov 2026, 18:22 ET · Last seen open on LinkedIn 12 Nov, 18:22 ET

This job at a glance

Who can apply
New grads and up to 1 year
Must know
GitStakeholder managementREST APIsAWSAzureGCP
Work
On-site in Houston
Pay
Not stated by the employer.
Listed
Nov 12, 2026 · still open

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About the Role

The AI Rapid Prototyping Developer (Level 1) at ARCXIS rapidly prototypes and builds business solutions using AI-assisted development tools, low-code/no-code platforms, and modern application frameworks. This is an entry-level position for users learning to leverage these technologies on the job. It's a hands-on, build-first role for someone comfortable moving fast, iterating in tight feedback loops, and using AI to amplify output across the prototype-to-production lifecycle.

Key Responsibilities

  • Translate business ideas, requirements, and pain points into functional prototypes and working applications.
  • Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Cursor, or similar) to accelerate development, generate boilerplate, debug, and explore solution options.
  • Build solutions on low-code/no-code platforms and modern application frameworks.
  • Partner directly with business stakeholders and technical leaders to clarify goals, validate assumptions, and demo early and often.
  • Iterate quickly based on user feedback, refining prototypes toward production-ready quality.
  • Integrate solutions with existing systems, APIs, and data sources.
  • Document what was built, how it works, and how it can be maintained or scaled.
  • Identify opportunities where AI-assisted or low-code approaches can replace slower, more costly traditional development.
  • Maintain a pragmatic balance between speed and quality.

Requirements & Tech Stack

  • Experience with AI-assisted coding technologies, Claude, Codex, Github CoPilot.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and basic DevOps concepts.
  • Exposure to prompt engineering and getting reliable, structured output from large language models.
  • Basic understanding of security, privacy, and data-handling best practices.

Qualifications

  • Bias for action: Defaults to building and demonstrating rather than only planning.
  • Adaptability: Comfortable choosing among many tools and switching approaches as needed.
  • Stakeholder partnership: Builds trust with business and technical leaders through clear communication and frequent delivery.
  • Judgment: Knows when "fast and good enough" is right and when robustness matters.
  • Curiosity: Continuously explores new AI and low-code capabilities.

Work Environment: In Office

Physical Demands: None

Position Type/Expected Hours of Work: Full Time

Travel: Periodic travel to field to support training and development efforts.

Classification: Non-exempt

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