AI Engineer - RAG & Semantic Search
Sao Paulo, SÃO PAULO, Brazil
BRL 60K-60K (estimate) Mid-level Full Time
Tasks
- Build and optimize APIs and backend integrations
- Build vector databases for retrieval
- Contribute to software architecture and infrastructure
- Create embedding pipelines for document ingestion and chunking
- Design SQL and NoSQL data models and schemas
- Design and develop scalable applications
- Develop semantic search and retrieval mechanisms
- Diagnose and resolve technical issues
- Evaluate RAG pipeline quality
- Implement NL to SQL interfaces using LLMs
- Perform code reviews and provide feedback
Perks/Benefits
- Corporate discounts
- Education assistance
- Flexible work options
- Health insurance
- Paid time off
- Parental leave
- Wellness programs
Skills/Tech-stack
API Development | Agile | Chroma | Chuncking | Cohere | Embeddings | Index Management | LLMs | Metadata Management | NL-to-SQL | NLP | NoSQL | OpenAI | PGVector | Pinecone | Prompt engineering | Python | RAG | SQL | Semantic Search | Sentence Transformers | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer
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