SOFTWARE/AI ENGINEER

Overview Of The Position Lead end-to-end software projects involving AI, automation, RPA, agentic systems, full-stack development, and infrastructure, with a focus on scalable and secure solutions for the manufacturing industry.

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