AI Data Engineer

AI Data Engineer

SG2 Recruiting has partnered with MASS Group to spearhead the search for a visionary AI Data Engineer. This is a pivotal opportunity to join a dynamic team and directly influence the company’s next phase of growth. If you are a strategic thinker ready to make a tangible impact, we want to hear from you.

MASS Group builds TME®, a mission‑critical Manufacturing Operating System designed specifically for defense manufacturers operating in air‑gapped, CMMC‑compliant environments. Our customers run some of the nation’s most demanding production operations and rely on TME to execute high‑stakes production workflows with total confidence. We foster a high‑output, low‑ego culture grounded in integrity, humility, and transparency, where engineers ship impactful capabilities directly to customers.

As an AI Data Engineer, you will join a high‑impact engineering team at a defining moment in our product lifecycle. With the release of TME 9.0, we are introducing a data‑agnostic operational layer that transitions defense manufacturing workflows from human‑assisted execution to automated operations. In this role, you will balance foundational data modeling and pipeline architecture with practical AI/RAG prototyping (an approximate 50/50 split during your first six months), turning raw, complex industrial data into clean, trustworthy operational intelligence across cloud and air‑gapped environments.

• Architect Data Orchestration:
  Build and extend the core data orchestration layer powering TME 9.0, transitioning customer workflows from human‑assisted processes to resilient, automated operations.

• Engineer Robust Pipelines:
  Turn raw application data from TME and complex legacy customer systems into structured, high‑performance, and reliable business models.

• Prototype and Deploy AI Solutions:
  Develop, evaluate, and product ionize practical AI capabilities—including Retrieval‑Augmented Generation (RAG) and LLM‑driven workflows to drive operational value.

• Integrate Varied Data Sources:
  Design and maintain resilient APIs, ETL/ELT pipelines, and integration layers that handle diverse industrial and enterprise data inputs.

• Collaborate with Domain Experts:
  Partner with manufacturing subject matter experts to implement critical Key Performance Indicators (KPIs), outcome measures, and Statistical Process Control (SPC) calculations.

• Deploy Across Hybrid Infrastructure:
  Ensure pipeline and AI architecture functions seamlessly across diverse environments, including AWS Gov Cloud, Azure Government, and localized, on‑premises air‑gapped deployments.

• Leverage Modern Engineering Practices:
  Integrate AI tools into your daily engineering workflow to accelerate boilerplate development, scaffolding, and iterative testing.

• U.S. Citizenship:
  Must be a verified U.S. Citizen (required due to handling CMMC‑compliant defense manufacturing data and export control regulations).

• Core Data Engineering
  
  Competency:
  
  Advanced proficiency in SQL, data modeling, relational schema design, and production ETL/ELT pipeline development.

• Software Engineering Foundations:
  Strong coding background in Python (or comparable scripting languages) with proven ability to build and consume RESTful APIs and system integrations.

• Practical AI & Architecture Mindset:
  Demonstrated experience prototyping, testing, and hardening AI solutions (such as RAG frameworks and LLM integrations) into repeatable, enterprise‑grade architecture.

• Hybrid Deployment Familiarity:
  Working knowledge of modern data platforms and deployment practices spanning both commercial/government cloud ecosystems and on‑premises servers.

• Security Clearance:
  Active Public Trust, Secret, or Top Secret…