Product Specialist 3 (Data & AI Integration Developer)

Interview - Teams

Job Title: Data & AI Integration Developer

Position Summary

We are seeking an exceptionally skilled Data & AI Integration Developer for a critical hybrid role at the intersection of database administration, full stack development, and artificial intelligence. This position is responsible for the full lifecycle of our data-from ensuring the performance and security of our on-premise SQL Server environments to engineering data pipelines into Azure and Google Cloud Platform and, integrating that data with AI and Machine Learning services.

The ideal candidate has a background in database management or full stack development with broad skills in cloud integration, software testing, automation, and applied AI. You will build and manage integrations, develop effective prompts for generative AI, and prepare data for ML models.

Key Responsibilities

• DevOps: Contribute to our CI/CD pipelines and work with cloud platforms (especially Azure) for application deployment and monitoring
• Backup & Recovery: Design, implement, and rigorously test backup and disaster recovery (DR) plans.
• T-SQL Development: Write, test, and optimize complex stored procedures, triggers, and functions.

AI & Machine Learning

• Prompt Engineering: Develop, test, and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate, relevant, and consistent outputs for business applications.
• Automation: Utilize PowerShell and other scripting tools to automate data preparation, model deployment pipelines, and AI service monitoring.

Integration & Business Analysis

• Documentation: Create and maintain detailed documentation of data flows , AI integrations, system architectures, and business logic.
• Development Support: Support development teams by reviewing database interaction code (primarily .NET C# , with exposure to Java and Python ).

Required Qualifications

• Working knowledge of .NET (C#) .
• Proven experience developing PowerShell scripts for automation.
• Demonstrable experience with prompt engineering for generative AI models.
• Experience setting up and managing data integrations with Azure and/or Google Cloud Platform .
• Familiarity with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL Server High-Availability (HA) solutions (e.g., Always On).
• Microsoft, Azure, or Google Cloud certifications.