Senior Software Engineer

First American•Santa Ana, CA

1d•Remote

About The Position

Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com. Be part of a transformative team that is shaping the way First American builds and delivers world-class technology products that fuel the real estate industry. We are looking for forward-thinking technology experts who will envision, design, build, and deliver AI-powered systems that provide exceptional experiences and lasting value to our customers. First American is seeking software engineering candidates to grow our team with a focus on agentic, AI-driven platforms. An ideal candidate brings strong backend engineering fundamentals alongside deep experience building systems that leverage LLMs and autonomous agents to reason, plan, and take action. As a Senior Software Engineer, you will lead projects as part of a small, focused engineering delivery team, building intelligent, reliable software that drives meaningful business outcomes. You will be part of a transformative team whose mission is to modernize and augment our core platforms using modern architectures, cloud-native services, and agentic AI systems.

Requirements

5+ years of experience as a software engineer building production-grade systems
Strong experience building large-scale, back-end services and APIs using C# (.NET) and/or Node.js (TypeScript preferred)
Hands-on experience designing or implementing agentic or LLM-powered systems, including planning, orchestration, tool use, memory, or retrieval-based approaches
Experience using Cursor or similar AI-assisted development tools as part of a modern software engineering workflow
Hands-on experience developing and managing Infrastructure as Code (IaC) solutions using Terraform
Strong experience building scalable frontend applications using ReactJS and Next.js, along with backend services using NestJS
1+ years of experience with GitHub or GitHub Enterprise with experience in agentic authoring flows
Solid understanding of software engineering principles, cloud-native infrastructure, and distributed system design
Ability to build robust, scalable, reusable solutions that safely integrate AI capabilities into core platforms
Ability to mentor and influence other engineers, sharing knowledge and raising overall technical quality
Ability to unblock yourself and help accelerate the team in achieving complex, cross-disciplinary goals
Outcome-oriented mindset, using metrics and data to evaluate both system behavior and development effectiveness

Nice To Haves

LLM APIs and platforms (e.g., OpenAI, Azure OpenAI) and agent frameworks such as LangChain, Semantic Kernel, or similar
Prompt engineering, prompt chaining, evaluation methodologies, and guardrails for AI-driven systems
Containerized development (Docker) and orchestration platforms such as Kubernetes
Relational (MS SQL Server, PostgreSQL) and NoSQL databases
Event-driven or distributed architectures, including message queues or workflow orchestration
Automated software testing (unit, integration, contract), including testing strategies for AI-enabled components
Infrastructure automation tooling such as Terraform or Ansible
Cloud platforms and services (AWS, Azure, or similar), including compute, storage, messaging, and observability
Working within highly regulated industries such as Financial Services or Healthcare
Strong verbal and written communication skills with a collaborative, cross-functional mindset

Responsibilities

You will be an active contributor to the codebase, designing, developing, testing, and deploying code that supports our most complex and high-impact functional areas.
You will architect and implement modern, world-class services that are scalable, highly available, and fault-tolerant.
A significant portion of your work will focus on building agentic software systems, including orchestrating LLM-based agents that perform planning, tool usage, memory, and autonomous task execution.
You will build backend services and APIs that enable secure, reliable interaction between AI agents and internal or external systems.
Collaborate closely with product management, solution architects, AI practitioners, and cross-functional engineering teams to iteratively design, develop, and validate outcome-driven solutions.
You will help define agent behaviors, workflows, and constraints, ensuring AI-powered solutions align with real business needs while remaining safe, explainable, and maintainable.
Implement solutions that are high quality, secure, observable, and production-ready.
Be an active member of the team, contributing to reviews of designs, code, artifacts, and metrics.
Establish guardrails, evaluation strategies, and monitoring approaches that ensure agentic systems behave reliably in production, including thoughtful optimization of system performance and cost related to LLM usage.
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.