Innovation AI Developer

About the Role

Innovation AI Developer II positions are responsible for independently designing, developing, and deploying AI-powered software solutions that address customer use cases in industrial production environments. This role bridges software engineering and AI/ML, building robust applications that integrate computer vision, NLP, and predictive analytics to drive operational efficiency.

Responsibilities

• Design and develop end-to-end AI-powered software applications for industrial use cases.
• Build and deploy AI models to edge devices, embedded systems, and offline environments.
• Own the full software development lifecycle: architecture, implementation, testing, and deployment.
• Develop internal AI agents and automation tools to improve operational efficiency.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Optimize model performance for production: inference latency, memory footprint, and accuracy.
• Set up and maintain customer demonstrations using IPCs, HMIs, cameras, sensors, and PLCs.
• Mentor junior developers through code reviews and technical guidance.
• Evaluate and integrate emerging AI technologies and OOB tools for team productivity.
• Lead POC development and deliver demos to customers and stakeholders.

Competencies

• Ensures Accountability
• Tech Savvy
• Communicates Effectively
• Values Differences
• Customer Focus
• Resourcefulness
• Drives Results
• Plans and Prioritizes
• Decision Quality
• Self-Development
• Develops Talent (Mentorship)
• Technical Leadership

Work Environment

This job operates in a professional office environment and an innovation lab setting. Employees set up customer demos using IPCs, HMIs, cameras, sensors, and edge devices. May work in customer facilities or warehouse/production environments to deploy solutions.

Physical Demands

While performing duties, the employee communicates with co-workers, customers, and stakeholders. Must remain stationary 70% of the time. May lift equipment up to 25 lbs when setting up demonstrations.

Requirements

• Bachelor's degree required. Master's degree preferred.
• 2-5 years of experience in AI development or software engineering with demonstrated project ownership.

Skills

Software Engineering

• Proficient in Python; experience with C++, Java, Go, or Rust.
• Strong fundamentals: data structures, algorithms, design patterns, clean code.
• Experience with API development (FastAPI, Flask), Git, CI/CD, Docker.

AI/ML Development

• Deep expertise in PyTorch or TensorFlow.
• Strong computer vision and/or NLP understanding.
• Experience with LLMs, VLMs, and agentic AI frameworks (LangChain, LangGraph).

Edge & Embedded

• Experience deploying edge devices (NVIDIA Jetson, industrial IPCs).
• Model optimization: quantization, pruning, ONNX/TensorRT.

AI Tools

• Proficient with AI-assisted development tools (Claude Code, Cursor).
• Experience building internal automation agents.

Desired Qualifications

• Experience in warehouse, logistics, or industrial automation.
• Track record of shipping production AI systems.