Full Stack AI Engineer - (W2)

We Miracle Software Systems is looking for the Full Stack AI Engineer on W2/Fulltime with 8+years to our direct client.Data Full Stack AI EngineerThis role is pivotal in transforming complex system level data into high-quality, AI ready data products. The ideal candidate will bridge the gap between backenddata orchestration and frontend application development within a robust Google Cloud Platform (GCP) environment.Core Responsibilities● Data Translation & Modeling: Translate complex system level data intobusiness friendly entities and semantic models. Design models to enableGenerative AI and Agentic AI ready datasets and presentation ready dataproducts within GCP.● Full Stack & Orchestration: Build and maintain the orchestration, serving,and API integration layers. Leverage Cloud Dataflow for stream and batchprocessing, and Pub/Sub for real-time messaging to support autonomousagent workflows.● CI/CD & Infrastructure as Code: Implement and manage robust CI/CDpipelines using GitHub Actions. Automate infrastructure provisioning usingTerraform and manage GitHub branching strategies (Dev, Stage, Prod).● Data Lifecycle Management: Perform discovery, preparation, andintegration of datasets for MVP and production use. Integrate requirementswith existing enterprise data landing platforms, in both structured andunstructured data formats.● AI & Agentic Integration: Work closely with Vertex AI to deploy andmanage machine learning models. Design data structures that supportagentic reasoning, tool calling, and long term memory.● Governance & Documentation: Develop and maintain data dictionaries andmetadata documentation to ensure observability and high data quality forautonomous system grounding.● Strategic Collaboration: Participate in discovery sessions and prototypingphases, mapping end-to-end customer journeys to specific datarequirements in collaboration with cross-functional teams.Technical Skills & Qualifications● Development: Proficiency in Full Stack development with a strongemphasis on software engineering components (orchestration and servinglayers).● Data Engineering: Strong experience in data pipeline development usingSQL, Python, Cloud Run, Cloud Functions and Cloud Composer● Data Governance Framework: Deep technical knowledge of DataGovernance Framework, Data Quality, Metadata Management and DataSecurity.● AI & Agentic AI: Experience preparing datasets for Vertex AI and buildingdata foundations for Agentic AI frameworks (reasoning, planning, andexecution).● Automation & IaC: Expert-level experience with GitHub Actions for CI/CDand Terraform for infrastructure management.● Modeling: Expertise in dimensional data modeling, semantic layers, andmetadata management.● Application Integration: Expertise in integrating with, and serving to,3rd-party applications and web portals.