Automotive technical documentation platform for repair shops and suppliers
Doutor-IE builds technical documentation and diagnostics tools for the automotive aftermarket, built on Python + Docker + AWS with emerging AI/ML infrastructure (FAISS, Pinecone, Qdrant, LangChain, RAG). The stack reveals a rapid pivot toward vector search and retrieval-augmented generation — likely to automate technical manual lookup and diagnostic inference across their vehicle repair knowledge base. Hiring has slowed, but the junior-heavy mix (11 of 24 open roles) and active projects around electrified vehicle manuals suggest they're scaling implementation capacity rather than core product.
Doutor-IE is a Brazilian technology company founded in 1997 that specializes in technical automotive information for the aftermarket repair ecosystem. The core product is a cloud-based documentation platform serving independent repair shops, automotive chains, parts suppliers, and equipment manufacturers with precise, current repair manuals and diagnostic data. The company operates in Brazil with 51–200 employees across engineering, support, sales, design, and data functions. Current focus includes expanding technical manuals for electrified vehicle platforms and managing high-volume support operations for small and medium repair businesses.
Python, Docker, AWS, PostgreSQL, plus AI/ML tools: FAISS, Pinecone, Qdrant, TensorFlow, PyTorch, LangChain, LangGraph, and Hugging Face. Mobile: Flutter, Kotlin, Swift, iOS, Android. Design: Figma, Adobe XD, Sketch.
Florianópolis, Santa Catarina, Brazil. The company was founded in 1997 and currently operates as a partnership with 51–200 employees.
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