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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.
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.