Job
Description
As a Generative AI Solutions Developer at Regal Rexnord, you will be responsible for designing and deploying advanced Generative AI solutions using LLMs, multi-agent systems, and RAG architectures. Your role will involve building scalable, secure applications that integrate FastAPI, React/Streamlit, PostgreSQL, and vector databases. You will leverage frameworks like LangChain, CrewAI, and HuggingFace to orchestrate multi-step GenAI workflows. It will be your responsibility to implement prompt engineering, fine-tuning, and performance monitoring to enhance model accuracy and reliability. Collaboration across teams to integrate GenAI features into enterprise platforms and deliver business value will also be a key part of your role. Additionally, you will optimize GenAI workloads using cloud-native services on Azure, including OpenAI, Functions, and Fabric. Ensuring model governance, responsible AI practices, and continuous improvement through robust MLOps pipelines will also be a part of your responsibilities. Key Responsibilities: - Design and deploy advanced Generative AI solutions using LLMs, multi-agent systems, and RAG architectures. - Build scalable, secure applications integrating FastAPI, React/Streamlit, PostgreSQL, and vector databases. - Leverage frameworks like LangChain, CrewAI, and HuggingFace to orchestrate multi-step GenAI workflows. - Implement prompt engineering, fine-tuning, and performance monitoring to enhance model accuracy and reliability. - Collaborate across teams to integrate GenAI features into enterprise platforms and deliver business value. - Optimize GenAI workloads using cloud-native services on Azure, including OpenAI, Functions, and Fabric. - Ensure model governance, responsible AI practices, and continuous improvement through robust MLOps pipelines. Qualifications Required: - Previous experience in designing and deploying Generative AI solutions. - Proficiency in frameworks like LangChain, CrewAI, and HuggingFace. - Strong knowledge of cloud-native services on Azure. - Ability to collaborate effectively across teams for integrated solutions. - Experience with model governance and responsible AI practices. About Regal Rexnord: Regal Rexnord is a publicly held global industrial manufacturer with 30,000 associates worldwide. The company focuses on providing sustainable solutions that power, transmit, and control motion. Regal Rexnord's product portfolio includes electric motors, air moving subsystems, power transmission components, and automation solutions. The company serves various end markets such as factory automation, aerospace, medical, data center, alternative energy, and more. Regal Rexnord is committed to continuous improvement and sustainability. Visit RegalRexnord.com for more information. As a Generative AI Solutions Developer at Regal Rexnord, you will be responsible for designing and deploying advanced Generative AI solutions using LLMs, multi-agent systems, and RAG architectures. Your role will involve building scalable, secure applications that integrate FastAPI, React/Streamlit, PostgreSQL, and vector databases. You will leverage frameworks like LangChain, CrewAI, and HuggingFace to orchestrate multi-step GenAI workflows. It will be your responsibility to implement prompt engineering, fine-tuning, and performance monitoring to enhance model accuracy and reliability. Collaboration across teams to integrate GenAI features into enterprise platforms and deliver business value will also be a key part of your role. Additionally, you will optimize GenAI workloads using cloud-native services on Azure, including OpenAI, Functions, and Fabric. Ensuring model governance, responsible AI practices, and continuous improvement through robust MLOps pipelines will also be a part of your responsibilities. Key Responsibilities: - Design and deploy advanced Generative AI solutions using LLMs, multi-agent systems, and RAG architectures. - Build scalable, secure applications integrating FastAPI, React/Streamlit, PostgreSQL, and vector databases. - Leverage frameworks like LangChain, CrewAI, and HuggingFace to orchestrate multi-step GenAI workflows. - Implement prompt engineering, fine-tuning, and performance monitoring to enhance model accuracy and reliability. - Collaborate across teams to integrate GenAI features into enterprise platforms and deliver business value. - Optimize GenAI workloads using cloud-native services on Azure, including OpenAI, Functions, and Fabric. - Ensure model governance, responsible AI practices, and continuous improvement through robust MLOps pipelines. Qualifications Required: - Previous experience in designing and deploying Generative AI solutions. - Proficiency in frameworks like LangChain, CrewAI, and HuggingFace. - Strong knowledge of cloud-native services on Azure. - Ability to collaborate effectively across teams for integrated solutions. - Experience with model governance and responsible AI practices. About Regal Rexnord: Regal Rexnord is a
