AI Assistant Development for Internal Data Integration
Only for registered members Canada
2 weeks ago
Job summary
We're looking for an experienced AI/ML engineer or full-stack developer to help us build the MVP of a confidential AI productivity tool for companies.The goal is to create an AI-powered system that can understand, organize, and retrieve information from multiple internal data sources.
You'll be working with our founding team to build the core technical foundation — focusing on indexing, semantic understanding, and natural-language interaction.
Responsibilities
- Backend that can connect to several information sources (documents, emails, cloud files, etc.).
- Automatic text parsing and vector embedding pipeline.
- Semantic search and retrieval of relevant text passages based on user queries.
- Conversational interface that answers in natural language, referencing the original source.
- Ability to easily add new data sources or update existing ones automatically.
Qualifications
- Proven experience building RAG (Retrieval-Augmented Generation) or similar systems.
- Solid understanding of embeddings, vector databases, and LLM orchestration.
- Practical experience with frameworks like LangChain, LlamaIndex, FastAPI, or Flask.
- Ability to deliver a functional MVP with efficient, clean, and modular code.
- Comfortable working with unstructured data (PDFs, docs, emails, etc.).
Job description
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