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AI Architect - Remote

ChatGPT Jobs
Department:Design
Type:REMOTE
Region:Denver, CO
Location:Denver, CO
Experience:Mid-Senior level
Estimated Salary:$150,000 - $200,000
Skills:
PYTHONAWSLLMSLANGCHAINFASTAPIMULTIMODAL AI
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Job Description

Posted on: May 15, 2026

Job Description Job Information Member of Technical Staff (Zara) Location: Remote (Denver, CO) Job Type: Full-Time Department: Engineering / AI Role Summary Join the engineering team to shape the future of recruiting technology by working hands-on with "Zara," a pioneering AI Recruiter model. The role focuses on designing, building, and scaling next-generation systems to redefine talent acquisition while collaborating across disciplines in the AI sector. Key Responsibilities

  • System Architecture: Design, build, and deploy scalable AI models and infrastructure using Python and AWS.
  • Multimodal AI Development: Develop and integrate advanced LLMs and multimodal systems (text, audio, video, visual inputs) into core platforms.
  • Cross-Functional Collaboration: Partner with product, research, and engineering teams to translate requirements into robust technical solutions.
  • API Development: Build efficient APIs using LangChain and FastAPI to enhance system performance and interoperability.
  • Innovation: Drive adoption of cutting-edge multimodal AI technologies and stay at the forefront of AI advancements.

Required Qualifications & Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Proven experience in Python programming and building systems in AWS environments.
  • Strong hands-on experience with LLMs, LangChain, and multimodal AI frameworks.
  • Proficiency in developing APIs (specifically FastAPI, Flask, or similar).
  • Strong problem-solving skills with the ability to operate independently.
  • Excellent written and verbal communication skills.

Preferred

  • Master's degree or higher in a relevant technical field.
  • Experience in technical leadership, mentoring, or guiding engineering teams.
  • Contributions to open-source AI projects or published research.
  • Familiarity with GPU programming and optimization for deep learning workloads.
Originally posted on LinkedIn

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