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