Responsibilities Design LLMpowered agents and workflows build RAG pipelines using embeddings and vector databases engineer prompts fewshot structured outputs tool calling implement texttoSQL and insight generation pipelines design evaluation frameworks for accuracy latency and cost collaborate with backend teams to productionize AI systems
Required Skills Strong Python experience handson work with LLM APIs OpenAIAnthropic experience with LangChain LlamaIndex or similar frameworks understanding of embeddings semantic search and RAG strong debugging and experimentation mindset
Preferred MLOpsLLMOps tooling MLflow Langfuse WB multiagent systems domain exposure to analytics or pharma cost optimization and model routing strategies
