AI Engineer - W2

AI Engineer - W2 at Miracle Software Systems, Inc AI Engineer - W2 at Miracle Software Systems, Inc in Melvindale, Michigan Posted in about 2 hours ago.

Type:

full-time

Job Description:

Miracle Software Systems, 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).

Requirement :

Position:

Data Full Stack AI Engineer - W2

Location:

Dearborn, MI Duration:

Long term

Skills :

GCP, Terraform, Cloudrun, Python, GenAI 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. ?

Application Integration:

Expertise in integrating with, and serving to, 3rd-party applications and web portals.