AI/ML Engineer

Highbrow Technology Inc is seeking an AI/ML Engineer to develop and deploy AI agents and machine learning models. The role involves collaborating on intelligent AI systems, prototyping ideas, and contributing to production-grade solutions in a startup-style environment.

Responsibilities:

• Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar), developing and deploying AI agents and machine learning models
• Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure 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 and experiment with GenAI models and agentic workflows, contributing to the development of intelligent security solutions
• 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

Requirements:

• 6 to 10 years of Experience
• Proficient in Python and other relevant programming languages
• 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
• Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure 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
• 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