[Job-30874] Senior AI Engineer, Brazil

We are seeking an AI Engineer to lead the design and development of agentic AI solutions that map, automate, and optimize mission-critical business processes in the mortgage servicing domain. This role focuses on escrow management at Top 5 Independent Mortgage Company in the US —a complex, highly regulated process with significant compliance and operational impact.

You will partner closely with a Business Analyst and Technical Subject Matter Expert to translate domain knowledge into AI-powered workflows. Using Claude and Claude Code, you will prototype and build agents that understand escrow operations deeply enough to handle edge cases, regulatory constraints, and process variations. This is not a generic AI role; it requires genuine curiosity about how mortgage servicing works and the discipline to bridge human knowledge and machine learning.

Technical Foundation:
- Extensive software development experience (Python, TypeScript, or Go preferred). Comfort with API integration, data models, and system design. Hands-on experience with LLM-based applications—prompt engineering, tool integration, multi-turn workflows, and error handling.

AI & Agentic Systems:
- Demonstrated experience building or deploying agentic systems (using frameworks like LangGraph, Semantic Kernel, or custom orchestration). Ability to design control flows for multi-step reasoning, handle uncertainty, and design appropriate guardrails. Strong grasp of prompt design, retrieval-augmented generation (RAG), and LLM limitations.

Domain Translation & Communication:
- Ability to extract domain logic from human experts (SMEs, BAs) without requiring formal specifications. Demonstrated success translating business rules into testable, executable requirements. Comfort asking clarifying questions and identifying edge cases in workflow descriptions.

Regulatory & Risk Mindset:
- Experience in regulated industries (mortgage, fintech, healthcare) or demonstrated understanding of compliance requirements, SLAs, and audit trails. Ability to recognize when an AI-driven approach is unsuitable and advocate for rule-based logic instead.

- Mortgage servicing or loan origination experience (LOS systems, servicing platforms, escrow operations)
- Hands-on use of Anthropic's Claude API and Claude Code for rapid prototyping
- Experience with MCP (Model Context Protocol) or other tool integration frameworks
- Background in business process management, data modeling, or BPMN diagramming
- Track record in cross-functional projects requiring deep collaboration with non-technical stakeholders

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