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Software Engineer - AI and Data Automation

Hcltech — Taiwan · Posted ~1 hour ago

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Skills

Python Google Cloud Platform Google Cloud Storage data pipelines AI agents Vertex AI CI/CD Git data analysis cloud infrastructure Go GCP

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Summary ✨ AI‑Generated

A technology team is seeking a software engineer to develop AI-driven automation and data solutions for manufacturing and testing workflows. Responsibilities include building AI agents, cloud data pipelines, analytics tools, and scalable software primarily in Python, with opportunities to use Go, while maintaining CI/CD and version-control practices. Professional working English is required.

Highlights

Opportunity to develop AI agents and automated data workflows, build cloud data pipelines, and apply software engineering to manufacturing and testing challenges using modern cloud and AI technologies.

Description

Responsibilities • Data & AI Automation: Design automated tools for data analysis and AI-driven insights to support the Design for Excellence (DfX) team's manufacturing and testing objectives. • AI Agents & Workflows: Develop and deploy AI agents (utilizing tools like Vertex AI) to automate repetitive or manual DfX workflows, improving overall team efficiency and process scalability. • Cloud Data Pipelines: Build and manage robust cloud infrastructure and data pipelines using Google Cloud Platform (GCP) and Google Cloud Storage (GCS) to seamlessly ingest, process, and analyze factory metrics. • Software Development: Write clean, scalable, and well-tested code (primarily in Python, with opportunities to use Go), while maintaining CI/CD pipelines and version control best practices. Minimum Qualifications • Graduated from recognized universities w/ a Computer Science or related degree. • Communication: Professional working proficiency in English (written and verbal). • Proficiency in Python programming, debugging, and testing for automation, data processing, and scripting. • Experience programming in Go (Golang) for backend services, OR experience leveraging Vertex AI for building, deploying, or automating intelligent workflows and AI agents. • Engineering Automation: Experience using Python for the automation and scripting of Siemens tools or developing software/automation scripts for hardware test environments and factory automation. • Data & Analytics: Experience working with databases (SQL/NoSQL) and data analysis tools to track test metrics, process manufacturing data, and optimize workflows. • Google Cloud Ecosystem: Hands-on experience building and managing cloud applications and data pipelines, specifically using Google Cloud Platform (GCP) and Google Cloud Storage (GCS). • Development Tools: Experience with version control (Git), CI/CD pipelines, and standard software development lifecycles. • TOEIC >650 or equivalent certificate