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
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
