Senior Engineer - CAD Customization, Engineering Automation & AI Solutions

Creative Synergies Group Overview Creative is a leading global technology services firm delivering innovative solutions that synergies our deep engineering domain expertise and Digital Engineering Services Creative’s global team of 1,600 “Can-Do” engineers collaborate with our 40 Fortune 500 clients to help them achieve their strategic and operational objectives (Including Google, Tesla, Samsung, Mercedes, Toyota, Mitsubishi, Hitachi) 95% of our revenues accrue from US, Europe, Japan based customers We work with clients across the global Transportation, Energy/Process, Industrial Products, Hi-Tech, Ed-Tech Industries. Service Offerings: o Al/ML And Digital Technologies: ▪ Agentic AI ▪ GenAI Business Services ▪ AI/ML ▪ Data Analytics and Data Engineering ▪ Cloud Technologies ▪ Application Development ▪ Digital Platform Engineering ▪ Cybersecurity o Intelligent Connected Products: ▪ Edge Analytics ▪ Industrial And Consumer IoT ▪ Platform Development ▪ Mobile Robotics ▪ Vehicle Centric Electronics ▪ Connected Car And Telematics Solutions o Digital Manufacturing o Digital Plant Engineering Founder / CEO: Dr. Mukesh Gandhi Locations: Headquartered in the U.S., multiple delivery centers in India (Bengaluru, Pune, Noida), branch offices in Germany, U.K, Netherlands and Japan Culture: Creative has a flat organization and an agile culture of positivity, entrepreneurial spirit, customer centricity, teamwork, and meritocracy Job Name: Senior Engineer - CAD Customization, Engineering Automation & AI Solutions Job Location: Bengaluru / Pune Experience Range: 5-10 Years Role Overview We are seeking a highly motivated Senior Engineer – CAD Customization, Engineering Automation & AI Solutions to develop intelligent software solutions that improve engineering productivity, standardization, and digital transformation across Automotive and Manufacturing projects. The role focuses on CAD customization, engineering automation, AI-enabled engineering tools, and smart manufacturing applications , supporting domains such as: BIW Engineering Tooling & Fixture Design Robot Simulation Manufacturing Engineering Layout Engineering PLC Engineering Digital Manufacturing Industry 4.0 Initiatives AI Driven Engineering Tools The ideal candidate will possess strong programming capabilities combined with engineering domain knowledge and will be responsible for developing customised applications, automation frameworks, CAD add-ins, AI-powered engineering assistants, and data-driven productivity solutions. Educational Qualification BE / BTech / ME / MTech in: Mechanical Engineering Mechatronics Automation Engineering Computer Science Artificial Intelligence Experience 4–10 Years’ Experience in One or More Areas: CAD Software Customization Engineering Automation Development Manufacturing Software Development AI/ML Applications for Engineering Digital Manufacturing Solutions Industry 4.0 Projects Preferred Industry Experience Automotive OEMs Automotive Engineering Services BIW Engineering Manufacturing Automation Industrial Engineering Technical Skills CAD Customization (Primary Requirement) Hands-on experience in customization and API development for: Siemens NX (NX Open) CATIA V5 AutoCAD Process Simulate DELMIA Teamcenter Integration Typical Development Areas Feature automation Model generation Drawing automation BOM extraction Standardization checks Engineering validation tools Reporting automation Programming Skills (Mandatory) Strong Expertise In Python C# VB.NET VBA REST APIs Visual studio Code Preferred Skills C++ JavaScript SQL AI & Engineering Intelligence (Preferred) Exposure to developing and hands-on experience in AI-powered engineering solutions:. Generative AI Azure/OpenAI APIs /AWS/ LLM like GPT 4.0/Titan RTC Open Source LLMs/SLMs Llama And Hugging Face TinyML Claude APIs LLM Integration Knowledge Of NLP Framework And Data Pre-Processing For RAG Pipelines Knowledge About Agentic AI Frameworks Like LangGraph/ Autogen Machine Learning Scikit-Learn TensorFlow PyTorch (Preferred) Typical Use Cases Drawing Review Automation Engineering Rule Validation Automated Design Checks Engineering Knowledge Assistants BOM Validation Engineering Document Intelligence Manufacturing Analytics Predictive Quality Data Engineering & Analytics (Preferred) Knowledge of: Pandas NumPy Data Processing Pipelines Databricks And ADF On Azure Will Be A Plus SQL Databases , NoSQL Databases, Data Pipelines Data Visualization Exposure to: Power BI Grafana Manufacturing KPI Dashboards Manufacturing Systems Exposure (Preferred) Knowledge of: PLC Systems Siemens TIA Portal Allen Bradley SCADA Systems MES/MOM Platforms Digital Manufacturing Platforms Understanding of: OEE Cycle Time Analysis Manufacturing KPIs Production Monitoring Industry 4.0 Concepts Key Responsibilities Engineering Automation Development Develop intelligent software solutions for: CAD Automation Design Automation Drawing Generation BOM Creation Report Generation Layout Engineering Robot Simulation PLC Engineering Support Build reusable automation frameworks that improve engineering productivity and reduce manual effort. CAD Customization Develop custom applications and add-ins using: NX Open CATIA APIs AutoCAD APIs Process Simulate APIs DELMIA APIs CAD SDKs Automate: Modelling activities Drafting activities Validation checks Data extraction Engineering standards compliance AI Solution Development (Preferred) Develop AI-enabled engineering applications including: Engineering Co-pilot Drawing Review Systems Design Validation Tools Engineering Knowledge Bots Automated Documentation Systems Intelligent Search & Retrieval Systems Leverage LLMs and Machine Learning to improve engineering decision-making and productivity. Manufacturing & Industry 4.0 Applications (Preferred) Support development of: Production Analytics Quality Analytics Predictive Maintenance Solutions Digital Manufacturing Applications Engineering Data Platforms Integrate engineering and manufacturing data to generate actionable insights. Software Development & Quality Develop scalable and maintainable applications Conduct testing and debugging Perform code reviews Maintain technical documentation Manage software releases and version control Follow software development best practices Collaboration & Project Execution Work closely with: Design Teams BIW Process Teams Simulation Engineers Controls Engineers Manufacturing Teams Project Managers Software Developers Translate engineering challenges into software and AI-based solutions. Ideal Candidate Profile We Are Looking for Engineers Who Can Bridge The Gap Between: Engineering Software Development AI The Ideal Candidate Should Possess: Strong CAD Customization Experience Excellent Python Programming Skills Understanding Of Manufacturing Engineering Workflows Passion For Automation And AI Problem-Solving Mindset Ability To Independently Develop Innovative Engineering Solutions