Develop and productionize a generative AI solution for analyzing unstructured documents. Build data pipelines, retrieval-augmented generation (RAG) logic, and backend APIs for a scalable document analysis platform. Collaborate with a team to ensure stability, scalability, and observability.
Responsibilities
Develop pipelines for document ingestion and processing
Extract text, segment, and manage metadata from documents
Generate embeddings and manage vector indices for retrieval
Implement RAG-based question-answering flows
Build backend APIs for AI-driven document analysis applications
Ensure scalability, stability, and observability of the solution
Requirements
10+ years of experience in data, AI, or machine learning development
Proven experience with generative AI or LLM-based solutions
Experience building and implementing RAG or similar retrieval-based AI architectures
Experience with data and ML platforms (e.g., Databricks)
Strong Python skills and API development experience
Fluent in Swedish and English (spoken and written)
Nice to Have
Experience with document analysis or large text datasets
Adavo is a Swedish-based technology and IT consulting firm that provides expert specialized consultants and managed services for software development, maintenance, and support. The company focuses on simplifying technology to assist businesses with digital growth and efficient IT operations.