Job Specifications
Principal Full Stack Engineer - AI Product
Join the team building an AI-powered platform to transform the $2T engineering services industry! We're creating an intelligent operating system for engineering firms and their customers, using agentic AI to supercharge their talents and build products in hard technology spaces. This is a ground-floor opportunity for a hands-on technical expert to build the core product features and infrastructure for a high-potential software product with the support of a parent company leading innovation in engineering and manufacturing. Who We're Looking For
We're seeking a builder who measures success by shipping high-quality code that solves real customer problems. The ideal candidate has built products from scratch and brings deep expertise across the full stack: from React Native frontends to GCP infrastructure to agentic AI workflows. This role requires already using AI coding tools like Cursor, Copilot, or Claude to 10x productivity, with excitement about building products that bring that same transformative capability to engineering teams. This principal engineer will work alongside our engineering team, head of product, and AI researchers to build the technical foundations of our platform. The role is hands-on with code daily while contributing to architectural decisions and helping establish engineering best practices as we grow. What You'll Do
The first 90 days focus on building initial features for our AI-powered agents using React Native and modern agentic frameworks while establishing patterns for integrating LLM APIs into production. By month three, core features of our first AI agent ship into pilot testing. Throughout the first year, the role expands to developing product features across web and mobile platforms, implementing Real Time collaboration and workflow automation, and optimizing performance as we scale to 1,000+ users.
Day-to-day responsibilities include:
Building production-grade React Native applications for web and mobile
Architecting and implementing cloud-native services on GCP (Cloud Run, Cloud SQL, Pub/Sub)
Developing agentic AI workflows using LangGraph, LangChain, or similar frameworks
Integrating LLM APIs (Claude, GPT-4, etc.) with proper error handling, streaming, and cost optimization
Building data pipelines for AI/ML workflows including RAG, vector search, and fine-tuning
Writing well-tested, maintainable code and participating in code reviews to establish engineering best practices
Contributing to technical architecture and system design discussions with customers to validate and refine features Technical Requirements Must Have
7+ years building production software, with 4+ years of full-stack development
Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development
Production experience with React Native for web and mobile applications
Hands-on experience with GCP services (Compute, Storage, Databases) and deploying containerized applications
Track record of shipping high-quality code at scale (10K+ users)
Strong understanding of system design, API architecture, and database design
Ability to balance rapid iteration with maintainable, well-tested code Highly Valuable
Experience building agentic AI systems using LangChain, LangGraph, or similar frameworks
Work with vector databases (Pinecone, Weaviate, Chroma) and RAG architectures
Background in B2B SaaS platforms or workflow automation tools
Understanding of engineering, manufacturing, or technical collaboration workflows
Experience with DevOps and MLOps best practices What We Offer
Real Impact: The opportunity to build something that fundamentally changes how engineering gets done
Customer Access: Direct exposure to hundreds of real engineering projects annually through Re:Build companies
Technical Growth: Hands-on work with cutting-edge AI technologies solving novel technical challenges
Autonomy: Backed by Re:Build while operating with startup independence
Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend
Equity & Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out Compensation & Location
Location: Remote-first, with preference candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices.
Compensation: Base salary of $185,000 to $230,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spin-out scenario.
Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export-controlled information. About Re:Build Manufacturing
Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineer
About the Company
Re:Build Manufacturing is a family of industrial businesses combining cutting-edge enabling technologies, operational superiority and strategic M&A to build America's next generation industrial company. Re:Build leverages a deep expertise in operations management and technology to supercharge performance of its subsidiaries by implementing core technologies across industrial platforms in diversified growth markets. Our goal is to help revitalize the U.S. manufacturing base over the coming decades, creating substantial oppo...
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