Brooksource
Gen AI Engineer
Miami, FL
Position Summary: Our enterprise client is looking for a skilled Gen AI Engineer to design, develop, and deploy full-stack GenAI applications using modern cloud and AI technologies. This role is hands-on, focused on building robust solutions, collaborating with cross-functional teams, and leveraging AI-assisted development tools to accelerate delivery and innovation.
Essential Duties and Responsibilities: Develop and maintain GenAI-powered applications using Azure AI Foundry, Azure Container Apps, Azure AI Search, and Azure Databricks. Integrate multi-cloud GenAI capabilities (AWS Bedrock, Google Vertex AI) as needed. Build scalable full-stack solutions with Next.js, Streamlit, FastAPI, Radix UI, Tailwind CSS, Zustand, and related frameworks. Implement secure authentication and authorization using Azure AD & MSAL. Design and optimize data pipelines with Databricks Serverless SQL, SQL Server, and Azure Cosmos DB. Develop intelligent retrieval systems using Azure AI Search. Manage APIs and microservices with Azure APIM and FastAPI. Ensure security, observability, and cost-efficiency using Azure Monitor, Log Analytics, Azure Key Vault, and Azure Cost Management. Apply best practices for AI model deployment, scaling, and monitoring. Collaborate with product managers, data engineers, and business stakeholders to deliver impactful solutions. Utilize AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio) to enhance productivity and code quality. Contribute to full-stack architecture decisions and participate in code reviews. Lead troubleshooting and debugging efforts for complex technical issues. Stay current with advancements in GenAI, machine learning, and software engineering. Support DevOps practices using Azure DevOps for CI/CD and infrastructure automation. Mentor junior engineers and share knowledge across the team.
Qualifications, Knowledge and Skills: 5+ years of experience in software engineering, with 1+ years in GenAI or LLM-based application development. Bachelors degree in Computer Science, Engineering, or related field. Proven hands-on expertise in full-stack development and Azure cloud services. Experience with enterprise identity management and secure coding practices. Familiarity with GenAI architectures (including RAG) and multi-cloud platforms. Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio). Strong coding skills in Python, JavaScript/TypeScript, and modern frameworks. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and integration services. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Effective communication skills for presenting solutions to technical and non-technical stakeholders.
Position Summary: Our enterprise client is looking for a skilled Gen AI Engineer to design, develop, and deploy full-stack GenAI applications using modern cloud and AI technologies. This role is hands-on, focused on building robust solutions, collaborating with cross-functional teams, and leveraging AI-assisted development tools to accelerate delivery and innovation.
Essential Duties and Responsibilities: Develop and maintain GenAI-powered applications using Azure AI Foundry, Azure Container Apps, Azure AI Search, and Azure Databricks. Integrate multi-cloud GenAI capabilities (AWS Bedrock, Google Vertex AI) as needed. Build scalable full-stack solutions with Next.js, Streamlit, FastAPI, Radix UI, Tailwind CSS, Zustand, and related frameworks. Implement secure authentication and authorization using Azure AD & MSAL. Design and optimize data pipelines with Databricks Serverless SQL, SQL Server, and Azure Cosmos DB. Develop intelligent retrieval systems using Azure AI Search. Manage APIs and microservices with Azure APIM and FastAPI. Ensure security, observability, and cost-efficiency using Azure Monitor, Log Analytics, Azure Key Vault, and Azure Cost Management. Apply best practices for AI model deployment, scaling, and monitoring. Collaborate with product managers, data engineers, and business stakeholders to deliver impactful solutions. Utilize AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio) to enhance productivity and code quality. Contribute to full-stack architecture decisions and participate in code reviews. Lead troubleshooting and debugging efforts for complex technical issues. Stay current with advancements in GenAI, machine learning, and software engineering. Support DevOps practices using Azure DevOps for CI/CD and infrastructure automation. Mentor junior engineers and share knowledge across the team.
Qualifications, Knowledge and Skills: 5+ years of experience in software engineering, with 1+ years in GenAI or LLM-based application development. Bachelors degree in Computer Science, Engineering, or related field. Proven hands-on expertise in full-stack development and Azure cloud services. Experience with enterprise identity management and secure coding practices. Familiarity with GenAI architectures (including RAG) and multi-cloud platforms. Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio). Strong coding skills in Python, JavaScript/TypeScript, and modern frameworks. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and integration services. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Effective communication skills for presenting solutions to technical and non-technical stakeholders.