Full-Stack Engineer – AI-Powered Manufacturing

At Apiphany, we are transforming the manufacturing industry with AI‑driven solutions—leveraging machine learning, computer vision, and automation to optimize production workflows, reduce waste, and enhance efficiency. As a Full‑Stack Engineer, you’ll be a key player in designing and building AI‑powered applications that seamlessly integrate with real‑world factory operations.

This is a 0‑to‑1 product development opportunity, where you’ll work closely with engineers, product managers, and industry experts to create software that drives measurable impact in manufacturing environments. You’ll be responsible for building scalable, reliable, and high‑performance systems that enable manufacturers to harness the power of AI, solving some of the most complex and high‑stakes challenges in industrial production. If you thrive on tackling hard technical challenges, working in high‑uncertainty environments, and shipping production‑grade AI solutions that interact with the physical world, this role is for you.

Core 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 industrial IoT (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 that allow operators, engineers, and managers to interpret AI‑driven insights and take action.

Own the full‑stack – Build and optimize front‑end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end‑to‑end experiences.

Ship in real‑world production environments – Deploy software that runs in factories, on edge devices, or in the cloud—working within the constraints of industrial infrastructure.

Iterate quickly in a high‑uncertainty domain – Prototype, test, and refine solutions based on direct user feedback and real‑world performance data.

What We’re Looking For

0‑to‑1 product development experience – You’ve built and shipped software from scratch, navigating uncertainty and scaling from MVP to production.

Full‑stack engineering expertise – Proficiency in front‑end frameworks (React, TypeScript) and backend development (Python, Node.js, or similar).

Deep manufacturing domain knowledge – Experience working with industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies.

AI / ML deployment experience – Familiarity with integrating ML models into production applications using tools like TensorFlow, PyTorch, or ONNX.

Industrial data experience – Knowledge of working with time‑series sensor data, machine telemetry, and real‑time control systems.

Cloud and edge computing expertise – Comfort with deploying applications on AWS, GCP, or Azure, as well as running AI models on edge devices.

Passion for solving complex problems – A mindset that thrives on tackling multi‑layered, technical challenges with high real‑world impact.

Bias for action – You take ownership, move fast, and execute in high‑stakes environments where precision and reliability matter.

Nice to Have

Experience with manufacturing execution systems (MES), SCADA, or PLC programming.

Familiarity with real‑time streaming frameworks (Kafka, MQTT, or similar).

Knowledge of edge AI, embedded systems, or industrial robotics.

Why Join Us?

At Apiphany, you’ll work on some of the hardest and most impactful problems in manufacturing—applying cutting‑edge AI to optimize how factories operate at scale. You’ll build products that directly improve production efficiency, reduce defects, and create safer, more autonomous manufacturing environments.

If you’re excited about developing AI‑powered solutions for industrial challenges, working with real‑world manufacturing data, and building software that interacts with the physical world, let’s talk. Join us in shaping the future of AI‑powered manufacturing.

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