SOFTWARE/AI ENGINEER
Posted Updated
Key Responsibilities:
- 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 manufacturing industry.
Job Requirements
- 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.
- years+ of software development / AI engineer experience
- Python; other programming languages are optional
- Tech Skills
- Linux-based cloud infrastructure / Docker
- Agentic AI
- Machine Learning / Computer Vision
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