Job Title
Pay Range $50hr - $55hr
Requirement/Must Have:
- 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.
Responsibilities:
- 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 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.