Senior AI Platform Engineer (LLM & Agentic Systems)
Tasks
- Add hybrid search and reranking
- Build AI evaluation and benchmarking
- Build AI orchestration frameworks
- Build backend APIs with FastAPI
- Build scalable knowledge ingestion
- Deploy services with Docker and Kubernetes
- Design multi-agent workflows
- Develop tool calling infrastructures
- Implement regression testing
- Implement retrieval-augmented generation pipelines
- Implement structured outputs validation
- Implement vector database search
- Monitor AI application performance
- Optimize LLM latency cost and quality
- Optimize embedding strategies
- Refine prompts and caching strategies
- Run A/B testing
Perks/Benefits
- Collaborative environment
- Continuous learning
- Cutting-edge AI exposure
- High-impact role
- Remote first work within Brazil
Skills/Tech-stack
A/B | A/B Testing | B testing | Docker | Embeddings | Evaluation | Faiss | FastAPI | Hybrid search | JSON Schema | Kubernetes | Langchain | Langgraph | Observability | PGVector | Pinecone | PostgreSQL | Prompt engineering | Pydantic | Python | Qdrant | Redis | Reranking | Retrieval-Augmented Generation | Schema Validation | Structured outputs | Testing | Vector Databases | Weaviate | WebSockets
Education
N/A
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