Raas Infotek · 2 days ago
AI/ML Engineer (USC / GC Only)
Raas Infotek is seeking an AI/ML Engineer to join their team. The role involves developing and deploying AI agents and machine learning models, leveraging cloud technologies, particularly Microsoft Azure, and collaborating across various services to enhance user experiences.
Responsibilities
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
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
Qualification
Required
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
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
Company
Raas Infotek
RAAS Infotek is a full spectrum global Information Technology services company, providing end-to-end business solutions.
Funding
Current Stage
Growth StageCompany data provided by crunchbase