Product Engineer | Design Engineering Knowledge at Neural Concept

Role Overview

As a Product Engineer at Neural Concept, you will develop the Design Engineering Knowledge capability to bridge the gap between CAD models and external information ecosystems. You will build AI-driven pipelines to extract and structure requirements, constraints, and design rules for leading manufacturers in automotive and aerospace.

Key Responsibilities

• Build LLM-based pipelines to extract and structure requirements from customer specifications
• Extend the platform to include design rules and manufacturing constraints like DfM and DfA
• Integrate the design workflow with enterprise systems including ERP and PLM tools
• Design data models linking requirements and constraints to specific parts and simulation results
• Create evaluation sets and quality metrics to measure and improve extraction accuracy
• Develop human-in-the-loop review flows for engineers to validate and edit AI outputs

Requirements Snapshot

• Experience building and shipping production Python software in cross-functional teams
• Hands-on experience with LLM applications including RAG and agent-based pipelines
• Proven ability to integrate with enterprise systems through APIs and data models
• Expertise in document processing such as PDF parsing and information extraction
• Strong software engineering practices including testing and continuous integration

Expected Impact

You will enable engineering teams to move from customer requirements to validated designs significantly faster by automating the retrieval and application of critical design knowledge. Your work will directly influence how engineers at top-tier automotive and aerospace companies manage complex constraints and trade-offs throughout the design process.