AI Rapid Prototype Developer Level 1
ARCXIS
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
Sign in free to see which of these skills your resume already shows.
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