Senior Software Engineer - Remote

First American is a people-first company that provides technology products for the real estate industry. The Senior Software Engineer will lead the design, development, deployment, and operation of AI-native systems, including LLM-powered features and agentic architectures, while modernizing the core Title & Settlement Platform. The role also involves collaborating with cross-functional teams, ensuring operational excellence, mentoring peers, and driving continuous improvement.

Responsibilities:

• Build & Deploy AI Systems (0 → 1): You will own the full lifecycle of LLM-powered features - from early prototyping and prompt design through production deployment, monitoring, and iteration. This includes fine-tuning workflows, building evaluation harnesses, and inference infrastructure that serve real users at scale. You will make pragmatic decisions and ship AI capabilities that are reliable, cost-effective, and measurably valuable
• Agentic Systems Development: Design and implement autonomous agent architectures that reason, plan, use tools, and execute multi-step tasks with minimal human intervention. You will build orchestration layers, memory systems, guardrails, and feedback loops that enable agents to operate safely and effectively within business workflows. You will define agent behaviors, constraints, and failure modes - ensuring systems degrade gracefully and remain explainable
• Code: You will be an active contributor to the codebase, designing, developing, testing, and deploying code supporting our most complex functional areas. Using agentic development, you will architect and implement modern services that are scalable, highly available, and fault-tolerant. You will build backend services and APIs that enable secure, reliable interaction between AI agents and internal or external systems. First American embraces AI as a core tool in our development process. You will use AI-assisted development tools (e.g., Cursor, Claude Code, Copilot) as part of your daily workflow, and help establish team-wide practices for agentic authoring - including prompt patterns, context management, and quality gates that maximize engineering velocity while maintaining code quality
• Collaborate / Partner: Collaborate closely with product management, solution architects, AI/ML practitioners, and cross-functional teams to iteratively design, develop, and validate outcome-driven solutions. You will translate ambiguous business problems into well-scoped solutions, helping stakeholders understand what's feasible, what's risky, and what delivers the highest value
• Operational Excellence: Implement solutions that are high quality, secure, observable, and production-ready. Establish evaluation strategies, cost monitoring, latency budgets, and guardrails that ensure AI systems behave reliably in production. Contribute to reviews of designs, code, artifacts, and metrics with a focus on both system performance and LLM usage efficiency
• Continuous Improvement: Join a team determined to achieve ambitious goals by providing regular feedback, mentoring peers, and driving continuous improvement. Advocate for modern engineering practices that improve development velocity, system robustness, and long-term quality