Developer for RAG infrastructure over a large legal-document corpus (Python, FastAPI, Weaviate)Data & AI · Brazil
A legal-information publisher building with generative AI needs a developer to own retrieval-augmented generation infrastructure for roughly 330-430K legal documents: chunking pipelines, vector database tuning and semantic search, RAG components, API components and evaluation tooling. Tech: Python, FastAPI, Weaviate, PostgreSQL, GCP.
Summary written by DevHero from the source; the official notice or post is binding.
Contract role: the client engages a person or team for a period at the stated rate. Monthly or yearly figures are converted to an hourly equivalent for comparison.
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Project details
- Kind
- Contract role
- Type
- Data & AI
- Rate
- €6,600/month (≈ $45.71/h)
- Technologies named
- Python, FastAPI, Weaviate, PostgreSQL, GCP, LangGraph, LlamaIndex, Terraform
- Stack
- Other software
- Sector
- Other / not stated
- Country
- Brazil
- Published
- October 26, 2026
- Deadline
- No deadline stated
- Source platform
- Himalayas
- Checked
- Read from the official open-data source on Nov 13, 2026
- Source language
- English
- Status
- No deadline
- Client
- ████████████
- Official source
- ████████████████
- Reference
- ██████
- Quote from the source
- ██████████
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