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# AI Engineer

- **Company:** A A A Rent All, Inc
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Software Code Optimization, Python (Programming Language), Machine Learning, Tensorflow, WebRTC, Pytorch, Agentic-AI, Information Technology, Virtual Agents
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_e3c94a68087596cfc73199ed89c12125

## About the Role

* Educational Background: At least a B.S. in Computer Science, Machine Learning, AI, or a related field. Exceptional candidates from other backgrounds will be considered.
 * Experience with AI Systems: Proven track record of building and deploying advanced AI systems, particularly for applications requiring reasoning and multi-step processes.
 * Expertise in Model Optimization: Strong knowledge of fine-tuning and optimizing AI models for real-world performance.
 * Problem-Solving Skills: Ability to integrate various AI models and tools to solve practical, high-impact problems in logistics.
 * Technical Skills:
 + Familiarity with AI frameworks such as TensorFlow, PyTorch, or similar.
 + Proficiency in Python and experience with cloud-based AI deployments.
 + Understanding of natural language processing (NLP) and real-time communication systems is a plus., * Have a passion for using AI to transform traditional industries like logistics.
 * Enjoy architecting AI systems that solve practical, high-impact problems.
 * Are curious about improving AI reasoning and decision-making in complex domains.
 * Value collaboration and are eager to translate logistics challenges into technical innovations.
 * Are excited to measure and achieve meaningful outcomes, ensuring your AI solutions deliver real-world value.

## Description

* Advance AI Reasoning: Improve the decision-making and reasoning capabilities of AI agents to handle complex logistics scenarios effectively.
 * Integrate and Optimize Models: Architect and fine-tune foundational models, integrating them into scalable solutions that address real-world logistics challenges.
 * Develop Evaluation Frameworks: Create robust metrics and evaluation frameworks to measure and enhance AI agent performance.
 * Collaborate Across Teams: Work closely with engineers, product managers, and logistics experts to translate domain-specific challenges into innovative AI solutions.