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Job Title: AI Engineer (Vision AI & Manufacturing Solutions) Job Summary We are seeking a highly motivated AI Engineer to develop, deploy, and optimize AI-powered solutions for smart manufacturing. The ideal candidate will work on Vision AI, Machine Learning, Generative AI, and RPA projects to improve production efficiency, quality inspection, and business automation across domestic and overseas manufacturing sites. Key Responsibilities Develop, train, and optimize Vision AI and Machine Learning models for manufacturing applications. Collect image and process data, perform data preprocessing, and prepare high-quality training datasets. Design and implement AI-powered automation solutions using Generative AI, LLMs, and RPA technologies. Develop AI APIs and integrate AI models with enterprise systems such as MES, ERP, PLM, and other internal applications. Identify AI use cases and support AI project implementation across manufacturing plants. Monitor AI model performance and continuously improve model accuracy and reliability. Collaborate with production, quality, engineering, and IT teams to understand business requirements. Troubleshoot AI applications and provide operational support after deployment. Maintain technical documentation and follow software development best practices. Stay updated with emerging AI technologies and recommend innovative solutions. Required Skills Programming Strong proficiency in Python Knowledge of object-oriented programming and software engineering principles Artificial Intelligence Machine Learning Deep Learning Computer Vision Data preprocessing and feature engineering Model training, evaluation, and optimization AI Frameworks PyTorch TensorFlow Scikit-learn AI Development Prompt Engineering Generative AI LLM applications AI automation tools Integration REST APIs JSON API integration with enterprise applications Soft Skills Strong analytical and problem-solving abilities Good communication and teamwork Ability to understand manufacturing business processes Willingness to learn new technologies Preferred Qualifications Experience with OpenCV Experience with YOLO object detection models Experience with OCR technologies Experience in Vision AI-based quality inspection Experience with RPA platforms (UiPath, Automation Anywhere, Power Automate) Experience with Generative AI, LLMs, AI Agents, or LangChain Experience with FastAPI, Flask, or Spring Boot Knowledge of MES, ERP, and PLM systems Experience with Linux environments Experience with Docker and containerization Experience using Git/GitHub/GitLab Knowledge of cloud platforms such as Azure, AWS, or Google Cloud .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.