Note: The job is a remote job and is open to candidates in USA. Highbrow Technology Inc is a forward-thinking company specializing in AI and machine learning solutions. They are seeking a Senior AI/ML Engineer who will develop and deploy AI agents and machine learning models, collaborate on intelligent security solutions, and contribute to the incubation of innovative ideas in a dynamic environment.

Responsibilities

• Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar), developing and deploying AI agents and machine learning models
• Coding agents: Codex, Claude, etc
• 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

Skills

• 6 to 14 years of Experience
• Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar), developing and deploying AI agents and machine learning models
• Hands-on experience with coding agents: Codex, Claude, etc
• 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

Company Overview

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