AI/ML engineer
Role summary
This role involves designing, implementing, and deploying intelligent AI agents, particularly leveraging Large Language Models (LLMs) and Generative AI (GenAI). The engineer will focus on building secure, scalable agents, integrating them into applications, and advancing their capabilities through research and optimization techniques like reinforcement learning. A strong emphasis is placed on cloud technologies, specifically Microsoft Azure and its associated data and AI platforms. The position requires proficiency in Python and machine learning frameworks, with specific experience in AI agent development and ML model deployment. The role operates in a remote, contract capacity within a startup-like environment, collaborating with senior engineers and researchers.
Job Title: AI/ML Developer
Location: Remote //
Chicago (Remote)
Duration: 6 Months
Senior Associate Technology – AI/ML Dev
Responsibilities:
- 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.
- 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, 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.
Qualifications:
- 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.
