Role overview
*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.
What you'll work on
- 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.
What we're looking for
- 5+ years of experience in software engineering, with 1+ years in GenAI or LLM-based application development.
- Bachelor’s 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.
Tags & focus areas
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