About this role
The AI Software Engineer is responsible for designing, developing, implementing, and
maintaining AI-enabled software applications that support business and manufacturing
operations. The position works closely with AI Architects, Data Engineers, Manufacturing
Teams, and Digital Transformation leaders to build intelligent solutions using Machine
Learning, Generative AI, cloud technologies, and enterprise data platforms.
This role contributes to the development of scalable AI software products, data pipelines,
APIs, and predictive models while supporting deployment, monitoring, and continuous
improvement activities. The AI Software Engineer serves as a key contributor to Industry 5.0
and Industry 6.0 initiatives, helping transform operational data into actionable business
insights through innovative AI-driven solutions.
Main Responsibilities
AI Software Development
Develop AI-enabled software applications and intelligent business solutions.
Build and maintain Machine Learning and data processing pipelines.
Develop APIs and backend services that support AI products and digital
applications.
Participate in software architecture implementation following engineering
standards and best practices.
AI Model Development & Deployment
Support the development, training, testing, and deployment of Machine Learning
models.
Assist in implementing Generative AI solutions and Large Language Model (LLM) use
cases.
Monitor model performance, accuracy, and reliability in production environments.
Support MLOps processes including model deployment, monitoring, and lifecycle
management.
Data Integration & Analytics
Integrate manufacturing, operational, and enterprise data sources.
Perform data preprocessing, cleansing, validation, and transformation activities.
Maintain data quality, consistency, and accessibility across platforms.
Support business intelligence, analytics, and dashboard development initiatives.
Collaboration & Continuous Improvement
Collaborate with AI Architects, Data Engineers, Manufacturing Teams, and Business
Stakeholders.
Participate in Agile ceremonies, sprint planning, and technical reviews.
Contribute to digital transformation and continuous improvement initiatives.
Support troubleshooting, incident resolution, and software maintenance activities.
Innovation
Research emerging AI technologies, frameworks, and industry trends.
Support proof-of-concept (PoC) and pilot projects involving AI and advanced
analytics.
Recommend software, data, and process improvements that enhance operational
performance.
Education
Bachelor’s Degree in Computer Science, Software Engineering, Information
Technology, Artificial Intelligence, Data Science, or related field.
Certifications in AI, Cloud Technologies, Data Engineering, or Software
Development are a plus.
Experience
3+ years of experience in software development, Artificial Intelligence, Machine
Learning, or related technical roles.
Experience developing cloud-based applications and enterprise software solutions.
Experience working with Python and AI/ML frameworks.
Experience integrating APIs, databases, and cloud services.
Basic understanding of DevOps and MLOps practices.
Experience in manufacturing, Industry 5.0, or smart factory environments is
preferred.
Technical Skills
Artificial Intelligence & Machine Learning
Machine Learning Model Development.
Deep Learning Fundamentals.
Generative AI Concepts.
Large Language Models (LLMs).
Model Training and Evaluation.
AI Solution Deployment and Monitoring.
Programming & Software Development
Python Development.
Object-Oriented Programming.