Job descriptionCreative 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
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