Senior Full Stack Engineer

Mass Tech LLC; Greensboro (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hours

Remote work

Job summary

MASS Tech LLC in Greensboro, NC seeks a Senior Full Stack Engineer to lead development of a Google-native AI platform that uses Retrieval-Augmented Generation and Gemini LLMs. You will shape architecture from data ingestion to frontend UX, integrating real-time data and technical docs to empower field operators.

The role covers cloud-first design, scalable APIs, and a Next.js frontend, with a remote-first culture and competitive compensation.

Qualifications

• 5+ years of professional software engineering experience including backend systems, cloud platforms, and frontend development.

Responsibilities

• Own the full lifecycle of MASS Tech’s Firestore-based vector RAG platform from design to deployment.
• Design and implement serverless ingestion pipelines that extract, process, and embed technical PDFs using Vertex AI for semantic indexing.
• Develop and optimize Firestore-native vector search with equipment-specific filtering for precise retrieval.
• Build and maintain a responsive, secure Next.js frontend for public QR access, interactive chat interfaces, and real-time dashboards.
• Architect and manage scalable APIs using Cloud Run and Firebase Functions to support high-traffic, low-latency use cases.
• Integrate Vertex AI Gemini to generate real-time, citation-aware responses within the user interface.
• Collaborate with product, design, and AI teams to refine prompts, UX flows, and context management.
• Implement observability, monitoring, and performance optimization for low latency and cost-effective operation.

Skills

Backend systems

Cloud platforms

Frontend development

GCP Vertex AI

Firestore

Cloud Functions

Firebase

LLM RAG

API architecture

Tools

Vertex AI

Firestore

Cloud Run

Firebase

Job description

Greensboro, United States | Posted on 09/12/2026

MASS Tech LLC is a Greensboro, North Carolina based technology and engineering company that makes AI and modern technology work for manufacturing businesses. We deliver practical solutions across product engineering, industrial digitalization, IoT, MES, automation, low code applications, data analytics, and AI powered operations - helping organizations improve productivity, quality, traceability, and decision making.

Our team combines deep manufacturing knowledge with emerging technologies to solve real operational challenges from the shop floor to the enterprise. We value collaboration, continuous learning, and hands-on problem solving, giving our people opportunities to work on meaningful projects, develop innovative solutions, and create measurable results for the industries we serve.

Job Description

Summary

As a Senior Full Stack Engineer at MASS Tech, you will play a pivotal role in shaping the future of intelligent equipment interaction through the development of a cutting-edge, Google-native AI platform. You’ll lead the end-to-end design and implementation of a scalable, secure, and high-performance system that leverages RAG (Retrieval-Augmented Generation), QR-based workflows, and Gemini LLMs to transform how field technicians and operators engage with industrial equipment. By integrating real-time data, technical documentation, and generative AI, you’ll help build a unified intelligence layer that enhances operational efficiency, reduces downtime, and empowers users with contextual, accurate insights. This role sits at the intersection of cloud engineering, AI systems, and product innovation, offering a unique opportunity to influence both technical architecture and user experience in a mission-driven, AI-first environment.

Responsibilities

• Own the full lifecycle of MASS Tech’s Firestore-based vector RAG platform, from system design to deployment and maintenance.
  
• Design and implement serverless ingestion pipelines that extract, process, and embed technical PDFs using Vertex AI for semantic indexing.
  
• Develop and optimize Firestore-native vector search capabilities with equipment-specific filtering for precise, context-aware retrieval.
  
• Build and maintain a responsive, secure Next.js frontend for public QR access, interactive chat interfaces, and real-time equipment dashboards.
  
• Architect and manage scalable APIs using Cloud Run and Firebase Functions to support high-traffic, low-latency use cases.
  
• Integrate Vertex AI Gemini to generate real-time, safe, and citation-aware responses within the user interface.
  
• Collaborate closely with product, design, and AI teams to refine prompt engineering, user experience flows, and context management.
  
• Implement observability, monitoring, and performance optimization strategies to ensure low latency and cost-effective operation across the stack.
  

Requirements

Requirements:

• 5+ years of professional experience in software engineering with demonstrated expertise in backend systems, cloud platforms, and frontend development.
  
• Proven experience with Google Cloud Platform (GCP), including Vertex AI, Firestore, Cloud Functions, and Firebase.
  
• Hands-on experience building or integrating LLM-powered RAG systems, embedding pipelines, or vector search solutions.
  
• Strong grasp of scalable system design, CI/CD practices, API architecture, and observability tooling.
  
• Excellent communication and documentation skills, particularly when explaining AI/ML system behavior and constraints.
  
• Experience working in cross-functional teams with product managers, designers, and AI researchers.
  
• Preferred: Prior experience developing software for manufacturing, industrial equipment, or field operations environments.
  

What we offer

Ownership of a transformative AI system redefining industrial interaction

Opportunity to lead architecture and shape a flagship product at MASS Tech

Remote-first work culture with flexible hours

Competitive salary and performance-based bonus