Senior Software / AI Engineer
Summary
Build and deploy AI-driven automation and agentic systems for manufacturing, owning full-stack projects from architecture to production deployment.
Versatile Software Project Delivery (Core Responsibility):
Lead and execute a wide range of software initiatives end-to-end, from custom full-stack development to RPA, AI-driven systems, and agentic solutions. Own projects from problem definition and architecture through deployment and maintenance.
AI, Automation & Agentic Systems: Design and implement AI models, machine learning workflows, RPA solutions, and agentic architectures integrated into production environments.
Infrastructure & Engineering Excellence: Manage infrastructure and CI/CD pipelines while ensuring scalability, performance, security, and high code quality through best practices and governance.
The context is automation and AI in the manufucturing industry.
Position Requirement :
The ideal candidate demonstrates strong technical agility, rapidly mastering new frameworks while maintaining strict standards for clean code, comprehensive documentation, data safety and compliance.
An "end-to-end" ownership mindset is required to independently manage projects—from stakeholder consultation through deployment.
Proven ability to work highly productively with coding assistants is mandatory. Candidates must be comfortable leveraging these tools as a core part of their development workflow while critically validating outputs to ensure quality and security.
A continuous drive to stay at the forefront of emerging AI innovations is expected.
3 years+ of Software developement / AI engineer experience
Python, other programming languages are optional
- Linux-based cloud infrastructure / Docker
- Agentic AI