About this role
Hands-on technical leadership role in New York to lead architecture and delivery of production-grade agentic AI systems, RAG, and LLM orchestration, managing a VP-level engineer and a team of 4-8 developers. Responsible for designing multi-agent orchestration, embedding/vectorization strategies, knowledge retrieval systems, evaluation frameworks, and production AI delivery.
Skills for this role
LLM orchestrationPrompt engineeringChain-of-thought reasoningRetrieval-augmented generation (RAG)Chunking strategiesEmbedding pipelinesRetrieval rankingContext window optimizationMulti-agent systemsReActTool-use patternsPlanning loopsVector databasesOpenAI embeddingsSentence-TransformersFAISSPineconeWeaviatePython 3.11+FastAPIAsync/awaitPoetryPydanticpytestJava 21Spring Boot 3.xMicroservice architectureOCR pipelinesNatural Language Processing (NLP)Knowledge graph construction""Evaluation frameworks""Golden-truth validation"