AI Engineer

📋 Description

• Own AI Workflows End to End
• Design agentic and LLM-based systems that combine extraction, retrieval, reasoning, and tool use
• Write design docs, make build-vs-buy and model choices, set success metrics
• Talk directly with customers and internal finance users
• Build production-grade LLM pipelines: prompt and context design, structured outputs, validation
• Design retrieval and RAG components (chunking, embeddings, vector search, re-ranking)

🎯 Requirements

• 7+ years of professional software engineering experience, including at least 2 years building and
• Track record of owning a large system or workflow end to end
• Hands-on experience shipping LLM-powered applications with APIs such as Anthropic, OpenAI, or
• Experience designing agentic or multi-step AI workflows or RAG systems with vector databases such
• Strong proficiency in Python, plus solid backend fundamentals: REST APIs, PostgreSQL or similar
• Uses AI coding agents and tools (for example Claude Code, Cursor, or Codex) as a regular part of