We Miracle Software Systems is looking for the Full Stack AI Engineer on W2/Fulltime with 8+years to our direct client.
Is this the role you are looking for If so read on for more details, and make sure to apply today.
Data Full Stack AI Engineer
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 backenddata 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. xsgimln
● Application Integration: Expertise in integrating with, and serving to,
3rd-party applications and web portals.