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# SOFTWARE/AI ENGINEER

- **Company:** Bizlink
- **Location:** Belgium
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Computer Vision, Cloud Computing, Linux, Python (Programming Language), Machine Learning, Robotic Automation Software, Software Engineering, Software Project Management, Agentic-AI, Machine Learning Operations, Docker, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.bizlinktech.com/open-positions/software-ai-engineer

## About the Role

* 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

## Description

* 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.