Sr. Generative AI Data Engineer (Google Cloud Platform/LLM/RAG) - Only on W2

Position Description:
Role Overview We are seeking a Senior AI & Data Engineer to bridge the gap between scalable data architecture and Generative AI. This role is designed for an engineer who views data as a product and possesses a proven track record of building production-grade AI-powered applications and agentic workflows. Unlike traditional data modeling roles, you will be responsible for architecting the underlying systems that power our data ecosystem - integrating LLMs, RAG (Retrieval-Augmented Generation) solutions, and autonomous agents into enterprise-scale platforms on Google Cloud (Google Cloud Platform). Technical Requirements

Must-Have (Minimum Qualifications):
Total Experience: 6 8 years in Software or Data Engineering, with a strong emphasis on Python-based application development.
AI Specialization: 2 4 years of hands-on experience building with LLMs, GPT-based APIs, or Vector Databases , Fine Tuning LLMs, Cloud Mastery: Extensive experience with Google Cloud Platform (preferred), including BigQuery, Vertex AI, and Cloud Run, Postgres.
Systems Design: Proven ability to design OLTP and OLAP patterns and document complex information flows.
Tooling: Expert proficiency in Python, SQL, and Terraform.
Modern AI Architectures: Experience with MCP (Model Context Protocol), RAG, LangChain, Google Agent Development Kit (ADK) Other : Rest API development using Flask/Flask API

Key Responsibilities:
AI Orchestration & Agentic Workflows: Architect and deploy agentic AI workflows and RAG solutions. Move beyond simple prompting to build systems capable of multi-step reasoning and tool-use.
Data Product Engineering: Design and implement high-performance analytical data products using streaming (Pub/Sub, Dataflow) and batch patterns, ensuring data is "AI-ready."
Infrastructure as Code (IaC): Own and scale cloud infrastructure using Terraform. Prioritize security, cost-optimization, and automated environment provisioning.
LLMOps & Pipeline Monitoring: Build robust pipelines that monitor not just data quality, but AI model performance, latency, and drift in production. Engineering Excellence (DevOps/TDD): Operate within an Agile environment using Test-Driven Development (TDD). Maintain rigorous code quality standards via SonarQube, Checkmarx, and Cycode integrated with CI/CD pipelines and GitHub Actions.
Governance & Lineage: Implement enterprise-grade data protection and sharing models. Map complex data lineages to ensure compliance and traceability. Production Reliability: Provide Tier 3 support for production AI services, ensuring uptime and performance according to established SLAs.

Skills Required:
IT Solutions, Google Cloud Platform, Cloud Computing, Artificial Intelligence & Expert Systems
Senior Specialist Exp: 7+ experience in relevant field.

Experience Preferred:
SQL, Python
Technical Requirements - Must-Have (Minimum Qualifications): Total Experience: 6 8 years in Software or Data Engineering, with a strong emphasis on Python-based application development. AI Specialization: 2 4 years of hands-on experience building with LLMs, GPT-based APIs, or Vector Databases , Fine Tuning LLMs, Cloud Mastery: Extensive experience with Google Cloud Platform (preferred), including BigQuery, Vertex AI, and Cloud Run, Postgres. Systems Design: Proven ability to design OLTP and OLAP patterns and document complex information flows. Tooling: Expert proficiency in Python, SQL, and Terraform. Modern AI Architectures: Experience with MCP (Model Context Protocol), RAG, LangChain, Google Agent Development Kit (ADK) Other : Rest API development using Flask/Flask API

Education Required:
Bachelor's Degree

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Miracle Software Systems, Inc. is Premier Partner of IBM and a National Implementation Partner of SAP since 1998.WE have been in business for the last 30 years specializing on SAP Implementations, SOA / EAI / B2B Technologies. We are also a reseller of IBM Software Products. We are a Global Systems Integrator with Presence in 5 Countries. We also have a Large Offshore Facility located in India. We specialize on BPM tools like IBM Lombardi / BPM7.5 and also have a large Sterling Commerce Practice. We also have a large E-Commerce Practice based on IBM Portals / WebSphere Commerce Server. Miracle B2B Practice has been built on WTX / Gentran / Data Power / WPG / Trading Manager / Sterling GIS and other leading Products in the Market. We are based out of Novi, Michigan.

Thanks & Regards,

Praveen Cheedi
Sr. HCM Executive
Miracle Software Systems, Inc.45625
Grand River AvenueNovi MI(48374) USA