Data Full Stack AI Engineer - W2 with Generative AI

Miracle Software Systems is looking for a Data Full Stack AI Engineer - W2 with Generative AI to build cutting-edge AI applications powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

This role is pivotal in transforming complex system-level data into high-quality, AI-ready data products. The ideal candidate will bridge the gap between backend data orchestration and frontend application development within a robust Google Cloud Platform (GCP) environment.

Core Responsibilities

• Data Translation & Modeling: Translate complex system level data into business friendly entities and semantic models. Design models to enable Generative AI and Agentic AI ready datasets and presentation ready data products within GCP.
• Full Stack & Orchestration: Build and maintain the orchestration, serving, and API integration layers. Leverage Cloud Dataflow for stream and batch processing, and Pub/Sub for real-time messaging to support autonomous agent workflows.
• CI/CD & Infrastructure as Code: Implement and manage robust CI/CD pipelines using GitHub Actions. Automate infrastructure provisioning using Terraform and manage GitHub branching strategies (Dev, Stage, Prod).
• Data Lifecycle Management: Perform discovery, preparation, and integration of datasets for MVP and production use. Integrate requirements with existing enterprise data landing platforms, in both structured and unstructured data formats.
• AI & Agentic Integration: Work closely with Vertex AI to deploy and manage machine learning models. Design data structures that support agentic reasoning, tool calling, and long term memory.
• Governance & Documentation: Develop and maintain data dictionaries and metadata documentation to ensure observability and high data quality for autonomous system grounding.
• Strategic Collaboration: Participate in discovery sessions and prototyping phases, mapping end-to-end customer journeys to specific data requirements in collaboration with cross-functional teams.

Technical Skills & Qualifications

• Development: Proficiency in Full Stack development with a strong emphasis on software engineering components (orchestration and serving layers).
• Data Engineering: Strong experience in data pipeline development using SQL, Python, Cloud Run, Cloud Functions and Cloud Composer
• Data Governance Framework: Deep technical knowledge of Data Governance Framework, Data Quality, Metadata Management and Data Security.
• AI & Agentic AI: Experience preparing datasets for Vertex AI and building data foundations for Agentic AI frameworks (reasoning, planning, and execution).
• Automation & IaC: Expert-level experience with GitHub Actions for CI/CD and Terraform for infrastructure management.
• Modeling: Expertise in dimensional data modeling, semantic layers, and metadata management.
• Application Integration: Expertise in integrating with, and serving to, 3rd-party applications and web portals.