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

#J-18808-Ljbffr

📌 Artificial Intelligence Engineer (Ciudad de México)
🏢 Pyramid Consulting
📍 Ciudad de México