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Full Stack Engineer

Apiphany.ai· Engineering
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San Francisco$136k - $160kfull-timePosted 7mo ago

About the role

Develop AI-powered manufacturing applications and systems integrating real-time AI models, working across full-stack solutions to support industrial automation and manufacturing processes.

Responsibilities

  • Develop AI-powered manufacturing applications; Build full-stack solutions that integrate real-time AI models for predictive maintenance, anomaly detection, defect classification, and process optimization.
  • Engineer for complexity and scale; Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference.
  • Integrate with factory-floor systems; Work with IIoT, MES, SCADA, PLCs, and edge computing to deploy AI models that interact with manufacturing processes in real time.
  • Bridge AI and human decision-making; Develop intuitive, high-performance interfaces for operators, engineers, and managers to interpret AI-driven insights.
  • Own the full-stack; Build and optimize front-end applications (React, TypeScript) and backend services (Python, Node.js), ensuring seamless end-to-end experiences.
  • Ship in real-world production environments; Deploy software in factories, on edge devices, or in the cloud within industrial infrastructure constraints.
  • Iterate quickly in a high-uncertainty domain; Prototype, test, and refine solutions based on user feedback and performance data.

Qualifications

  • Bachelor’s degree in computer science, information technology, software engineering, or a related field.
  • One year of experience as a Software Engineer or Developer, including:
  • 0-to-1 product development in building and shipping software from conception, scaling from MVP to production.
  • Full-stack engineering skills in front-end frameworks (React, TypeScript) and backend development (Python, Node.js).
  • Experience with industrial automation, predictive maintenance, process optimization, or smart factory technologies.
  • Experience deploying ML models using TensorFlow, PyTorch, or ONNX in production applications.
  • Experience working with industrial data such as time-series sensor data, machine telemetry, and real-time control systems.
  • Knowledge of deploying applications on cloud platforms (AWS, GCP, Azure) and running AI models on edge devices.

Skills

Required:Full-stack developmentReact, TypeScriptPython, Node.jsAI/ML deploymentIndustrial data handling
Last updated Apr 23, 2026. Interested? Apply on the company site.

About Apiphany.ai

Billions of engineering & manufacturing data points made actionable

Manufacturing organizations operate on complex and fragmented systems, demanding a blend of technical expertise and strategic planning to ensure products are delivered on time, with high quality, and within budget.

manufacturingengineeringdata analyticsAI
Company profileWebsite

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