Job description

Role Description & Responsibilities The SOLIDWORKS User Experience Design team is a multidisciplinary group of user experience designers, graphic designers, user researchers, and engineers. We are responsible for the experience and interface of SOLIDWORKS products, from desktop CAD software to web and mobile applications. We also build internal tools that turn large volumes of research content into a searchable, structured knowledge base that can be queried and summarized on demand. As a Platform Intern, you’ll join a small team of development interns who use AI-assisted tools (Claude Code, Cursor) to build internal tools across the R&D organization. Your work will help make a large and growing body of internal content easy to find and use, instead of leaving it scattered across disconnected files and folders. Your projects may include: • Metadata & Tagging: Implement project and session metadata (product area, method, topic) and a tagging system across sessions, quotes, and themes. • Quote Bank: Build on an in-progress feature that surfaces and structures evidence linked to its source records. • Content Summarization: Rework summary and theme-extraction prompts to use domain-specific framing rather than generic meeting-notes framing. • Search & Filtering: Extend the existing hybrid (semantic + keyword) search with metadata-based filters. • AI-Assisted Development: Use tools like Claude Code or Cursor to move quickly within an existing FastAPI, Next.js, and pgvector codebase. Qualifications What you’ll bring: • Initiative: You don’t wait to be told what to do, and you look for ways to improve the system. • Comfort with ambiguity: The source data is messy, and you’ll make judgment calls about how to structure it. • Fast learning: You pick up new tools and frameworks quickly, with mentor support. • Clear communication with non-engineers: You’ll build for a non-technical internal audience, so understanding their workflow matters. Technical skills: • Python • Vector databases (e.g., Chroma, Weaviate, Pinecone, pgvector) • LLMs, embeddings, and RAG pipelines • Experience with AI-assisted coding tools (Claude Code, Cursor) Nice to have: • Heavy prior use of AI-assisted coding tools such as Claude Code or Cursor • Local LLM deployment (Ollama, LM Studio, or similar) • Audio/video transcription tools (Whisper, etc.) Inclusion statement In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history. Salary Pay Transparency Compensation for the role will be commensurate with experience. The total expected compensation range will be between $19 and $36 per hour.

Requirements

Must-haves

Role Description & Responsibilities
Metadata & Tagging: Implement project and session metadata (product area, method, topic) and a tagging system across sessions, quotes, and themes.
Quote Bank: Build on an in-progress feature that surfaces and structures evidence linked to its source records.
Content Summarization: Rework summary and theme-extraction prompts to use domain-specific framing rather than generic meeting-notes framing.
Search & Filtering: Extend the existing hybrid (semantic + keyword) search with metadata-based filters.
AI-Assisted Development: Use tools like Claude Code or Cursor to move quickly within an existing FastAPI, Next.js, and pgvector codebase.
Initiative: You don’t wait to be told what to do, and you look for ways to improve the system.
Comfort with ambiguity: The source data is messy, and you’ll make judgment calls about how to structure it.
Fast learning: You pick up new tools and frameworks quickly, with mentor support.
Clear communication with non-engineers: You’ll build for a non-technical internal audience, so understanding their workflow matters.
Vector databases (e.g., Chroma, Weaviate, Pinecone, pgvector)
LLMs, embeddings, and RAG pipelines
Experience with AI-assisted coding tools (Claude Code, Cursor)

Nice-to-haves

Heavy prior use of AI-assisted coding tools such as Claude Code or Cursor
Local LLM deployment (Ollama, LM Studio, or similar)
Audio/video transcription tools (Whisper, etc.)
Inclusion statement
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $19 and $36 per hour.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ainext.jspythonllm

Platform: careers-html
Effort: medium