AI Engineer

📋 Description

• Own AI workflows end to end (e.g., invoice-to-payment, expense review, transaction reconciliation)
• Design agentic and LLM-based systems combining extraction, retrieval, reasoning, and tool use for
• Write design docs, make build-vs-buy and model choices, set success metrics for owned workflows
• Talk directly with customers and internal finance users to understand workflow gaps and desired
• Build production-grade LLM pipelines with prompt/context design, structured outputs, validation
• Design retrieval and RAG components (chunking, embeddings, vector search, re-ranking) for grounding

🎯 Requirements

• 7+ years professional software engineering experience
• At least 2 years building and operating LLM or AI-powered systems in production
• Track record of owning large systems/workflows end to end with limited direction
• Hands-on experience shipping LLM-powered applications with Anthropic, OpenAI, or similar APIs
• Experience designing agentic or multi-step AI workflows (tool use, orchestration, human review
• Strong proficiency in Python