Frontend/Full-Stack Engineer – AI Applications
| Company | Re:Build Manufacturing |
|---|---|
| Location | Rochester, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- 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 evolving market.
Responsibilities
- 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.
Preferred Qualifications
- Understanding of CAD/CAE tools used in fields such as electrical engineering design and manufacturing design.
- Prior experience in a manufacturing, design automation, or industrial software environment.
- Experience with generative AI or machine learning models in production, e.g. TensorFlow.js, ONNX.js, or similar.