Frontend/Full-Stack Engineer, AI Applications

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 engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We’ve assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we’re leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

 

Who we are looking for

You will play a pivotal role in launching disruptive AI products for embedded system design (EBS). Your expertise in full stack and frontend development will enable you to ensure the successful implementation of the new products based on generative AI. The product you help develop will accelerate embedded electronic system design in the US, compressing lead times and helping companies innovate faster resulting in better medical, consumer, and industrial products. You will focus on:

• Creating intuitive interfaces for AI design tools for the embedded system space that integrate requirements definition, hardware and software design, validation, and certification testing into one common interface to improve efficiency, time to market, and customer satisfaction.
• Design and implement software systems to standardize, control, analyze, and improve design processes of embedded system products, from concept through validation.
• Use the latest advancements in artificial intelligence (AI), to automate design work (requirements, ECAD, software/firmware, testing planning, certification testing), enabling engineers to focus their energy on solving the toughest challenges and redefining design operations across diverse industries.

What you get to do

• Design, implement, and validate code for design tools using generative AI, ensuring code maintainability and reliability.
• Work with backend engineers to develop APIs to AI models and data sources.
• Design software to interface custom generative AI backend tools to customer application infrastructure and data systems.
• Work with internal collaborators and EBS domain experts to understand system requirements and automate targeted design processes.
• Define the technology stack and ensure timely and successful delivery of high-quality, scalable code solutions.
• Drive innovation by developing technologies such as advanced agentic AI, workflows, tool integrations, and artificial intelligence (AI), that can be applied to EBS processes.

What you bring to the Team

• Bachelor’s degree or equivalent experience in computer science, software engineering, or a related field.
• Experience in front-end development, building and deploying web applications.
• Proficiency in JavaScript, TypeScript, HTML5, CSS3 and related technologies.
• Experience with modern front-end frameworks/libraries, such as React, Vue.js, or Angular.
• Strong understanding of RESTful APIs, GraphQL, WebSockets and similar technologies for efficient data communication.
• Experience with version control (Git), CI/CD pipelines, and containerized environments (Docker, Kubernetes).
• Strong ability to collaborate in agile development environments with designers, back-end engineers, and AI/ML teams.
• Familiarity with UX/UI principles for engineering applications
• Awareness of generative AI models (Llama, Claude, ChatGPT, Gemini, Deepseek, Mistral), tools (langchain, LlamaIndex, Haystack, Auto-GPT) and supporting infrastructure (Azure, AWS, Hugging Face).
• Entrepreneurial approach, with a passion for innovation, customer success, and driving growth in a rapidly