Design and operate production-grade LLM pipelines (RAG, prompts, parsing)
Build AI features for spend categorization, doc extraction, anomalies
Ensure reliability with structured output validation, fallbacks, confidence scoring
Evaluate/integrate AI tools: LangChain, LlamaIndex, OpenAI, Anthropic
Design vector search pipelines with Pinecone/Weaviate/pgvector
Productionize ML models: serving endpoints, latency, monitoring

🎯 Requirements

Bachelor's degree or equivalent practical experience
5+ years software engineering; 3+ years AI/ML in production
Hands-on with LLM APIs (OpenAI, Anthropic, Cohere)
RAG pipelines with embeddings and vector DBs (Pinecone/Weaviate/pgvector)
Python proficiency; experience with LangChain or LlamaIndex
REST/gRPC model serving; latency, validation, monitoring; PostgreSQL; cloud

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