Innovation AI Developer

Saicon; Redmond (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Saicon is seeking an Innovation AI Developer II to design, develop, and deploy AI-driven software for industrial production environments. You will own features end-to-end, from requirements through deployment to edge devices and embedded systems.

The role bridges software engineering and AI/ML, building robust applications with computer vision, NLP, and predictive analytics while mentoring junior developers and delivering customer demos.

Qualifications

• Bachelor's degree required; Master's degree preferred.
• 2–5 years of AI development or software engineering with demonstrated project ownership.
• Experience deploying AI models to edge devices and embedded systems.

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, 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, accuracy.
• Set up and maintain customer demonstrations using IPCs, HMIs, cameras, sensors, PLCs.
• Mentor junior developers through code reviews and technical guidance.
• Evaluate and integrate emerging AI technologies and tools for team productivity.
• Lead POC development and deliver demos to customers and stakeholders.

Skills

Python

C++

Java

Go

Rust

API development

Git

CI/CD

Docker

PyTorch or TensorFlow

Computer vision

NLP

LangChain / LangGraph

Edge devices

Education

Bachelor's degree

Master's degree

Tools

FastAPI

Flask

ONNX/TensorRT

TensorRT

Job description

• Experience deploying edge devices (NVIDIA Jetson, industrial IPCs).

Summary of Position

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. They own end-to-end delivery of features and prototypes, from requirements through deployment to edge devices and embedded systems. This role bridges software engineering and AI/ML, building robust applications that integrate computer vision, NLP, and predictive analytics. AI Developer IIs drive operational efficiency by developing AI agents and leveraging OOB AI tools for internal automation.

Essential Functions

• 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, 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, accuracy.
• Set up and maintain customer demonstrations using IPCs, HMIs, cameras, sensors, 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, 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.

Required Education and Experience

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

Qualifications: 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

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