Multimodal AI Engineer for Engineering Drawings & Data

• Develop multimodal AI solutions for engineering drawings, specifications, standards, and related documents.
• Build drawing understanding capabilities using computer vision, OCR, vision language models, embeddings, and LLMs.
• Implement drawing search, retrieval, and knowledge extraction capabilities.
• Design agentic workflows and MCP based integrations across engineering systems.
• Integrate AI solutions with Databricks, cloud platforms (AWS), and enterprise data sources.
• Evaluate emerging AI technologies and recommend architecture decisions.

Required Skills

• AWS services, including AgentCore, Bedrock, and Terraform for application deployment and integration.
• Databricks Apps, Unity Catalog for governed data access, and platform integration.
• Computer vision and multimodal AI for drawing understanding, symbol detection, OCR, and vision language model-based interpretation.
• Python based AI application development, including backend services, APIs, evaluation pipelines, and integration with model inference workflows.
• RAG, vector databases, embeddings, similarity search, and drawing retrieval across engineering drawings, specifications, and related technical documents.
• Multiagent workflow and MCP architecture
• API and enterprise system integration
• Engineering or manufacturing domain experience