[Hiring] AI Engineer @Resource Logistics

Role Description

AI Engineer responsible for developing and deploying AI agents and machine learning models.

• Proficient in Python and other relevant programming languages.
• Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Clienture, including expertise in Clienture Data and AI platforms (such as Databricks, Fabric, and AI Foundry).
• Build and experiment with GenAI models and agentic workflows.
• Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks.
• Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience.
• Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.
• Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.
• Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.
• Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment.
• Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.

Qualifications

• 3 years of hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).
• 2 years of hands-on experience in developing and deploying AI agents and machine learning models.

Company Description