Gen AI Engineer
People Tech Group Inc
Seattle, WA
gen
ai
engineer
ai
azure
cloud
cloud foundry
apis
data
pipelines
gen
engineer
design
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March 20, 2025
People Tech Group Inc
Seattle, WA
FULL_TIME
Role Overview:
We are seeking a Gen AI Engineer with expertise in Azure Cloud Foundry to design, develop, and deploy AI-driven solutions. The ideal candidate will have experience working with Azure AI services, LLMs, and cloud-based ML deployments to build scalable and efficient AI applications.
Key Responsibilities:
• Develop and deploy Generative AI models on Azure Cloud Foundry and other Azure AI services.
• Fine-tune and optimize LLMs (Large Language Models) for specific business use cases.
• Integrate AI models with APIs, data pipelines, and cloud infrastructure for seamless deployment.
• Implement MLOps best practices for model training, monitoring, and versioning.
• Ensure security, scalability, and compliance with cloud-based AI solutions.
• Collaborate with cross-functional teams including data scientists, cloud engineers, and developers.
Required Skills & Qualifications:
• Hands-on experience with Azure AI services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services.
• Experience with Cloud Foundry and deploying AI workloads on Azure Kubernetes Service (AKS).
• Strong programming skills in Python, TensorFlow/PyTorch, or other AI frameworks.
• Familiarity with MLOps tools, version control, and CI/CD pipelines for AI applications.
• Knowledge of vector databases, embeddings, and fine-tuning of LLMs.
• Experience with APIs, RESTful services, and integrating AI into cloud-native applications.
We are seeking a Gen AI Engineer with expertise in Azure Cloud Foundry to design, develop, and deploy AI-driven solutions. The ideal candidate will have experience working with Azure AI services, LLMs, and cloud-based ML deployments to build scalable and efficient AI applications.
Key Responsibilities:
• Develop and deploy Generative AI models on Azure Cloud Foundry and other Azure AI services.
• Fine-tune and optimize LLMs (Large Language Models) for specific business use cases.
• Integrate AI models with APIs, data pipelines, and cloud infrastructure for seamless deployment.
• Implement MLOps best practices for model training, monitoring, and versioning.
• Ensure security, scalability, and compliance with cloud-based AI solutions.
• Collaborate with cross-functional teams including data scientists, cloud engineers, and developers.
Required Skills & Qualifications:
• Hands-on experience with Azure AI services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services.
• Experience with Cloud Foundry and deploying AI workloads on Azure Kubernetes Service (AKS).
• Strong programming skills in Python, TensorFlow/PyTorch, or other AI frameworks.
• Familiarity with MLOps tools, version control, and CI/CD pipelines for AI applications.
• Knowledge of vector databases, embeddings, and fine-tuning of LLMs.
• Experience with APIs, RESTful services, and integrating AI into cloud-native applications.
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