Related skills
python typescript fastapi langchain llm📋 Description
- Design and deploy production-grade RAG pipelines with LLMs and data sources
- Build embeddings and ingestion pipelines for structured and unstructured data
- Implement vector search using Pinecone, Weaviate, ChromaDB, or pgvector
- Architect context management balancing latency, cost, and reliability
- Design multi-step agentic workflows with LangChain, LangGraph, or LlamaIndex
- Build scalable backend services using Python (FastAPI) and TypeScript/Node.js
🎯 Requirements
- Have 8+ years in software engineering
- Have 3+ years deploying AI/ML systems into production
- Have built real RAG pipelines (not tutorials)
- Have implemented LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex)
- Understand vector databases deeply
- Have strong Python and backend architecture experience
🎁 Benefits
- Remote-friendly global team with flexible collaboration across time zones
- Opportunity to shape Bold Amplify AI architecture and product
- Competitive compensation and comprehensive benefits
- Impactful work delivering production AI at scale
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