Senior Software Engineer:AI​/ML ; Full Stack-Remote

Who We Are

Join a team that puts its People First! As a member of First American's family of companies, National Commercial Services provides single‑point service for simple to multi‑property/multi‑state national commercial real‑estate transactions. 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 ten 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.

We are looking for a hands‑on Senior Software Engineer to serve as the technical owner for AI/ML initiatives within First American Technology. This role bridges business stakeholders, offshore delivery teams, and internal AI/ML platform teams to deliver production‑grade AI‑enabled applications. This is not a solution architect or liaison‑only role. The successful candidate is expected to write code, debug production issues, review deliverables, and ship improvements across AI/ML components and full stack application layers.

You will own technical execution during US business hours, including coordination, incident response, and rapid resolution of business‑impacting issues.

Technical Ownership & Delivery

• Own end‑to‑end technical execution for AI/ML application initiatives, ensuring delivery against scope, quality, and timelines.
• Translate business and functional requirements into clear technical designs and actionable engineering tasks for delivery teams.
• Coordinate execution across offshore teams, AI platform teams, and stakeholders; communicate status, risks, and dependencies.
• Review offshore deliverables (code, pipelines, infrastructure changes) for quality, performance, security, and compliance.
• Fully own projects in your area, identifying gaps/opportunities and driving solutions to completion.

Hands‑On Engineering (Expected)

• Actively develop, test, and deploy production features across backend services, APIs, and UI integration.
• Provide maintenance of developed software including regression testing, debugging, and root‑cause analysis.
• Build tools and produce technical documentation to improve developer efficiency and alignment.
• Build and maintain test automation suites and quality gates.

AI/ML & Generative AI

• Implement and support Machine Learning and Generative AI solutions, including LLM‑based systems.
• Build and support Retrieval‑Augmented Generation (RAG) pipelines and vector search integrations.
• Apply prompt engineering, LLM orchestration, and agentic workflow frameworks where appropriate.
• Support model/service evaluation, monitoring, and performance tuning (quality, latency, cost).
• Ensure responsible AI practices and governance standards are followed.

Cloud, Dev Ops & Operations

• Operate and support AI‑enabled applications in Azure and/or AWS
  .
• Maintain CI/CD and operational pipelines (Dev Ops/MLOps) to enable reliable releases.
• Own production stability during US business hours: triage incidents, coordinate fixes, and implement long‑term corrective actions.
• Ensure security, reliability, and cost awareness of deployed solutions.

Required

• 5–8 years of overall software engineering experience, including full stack application development and production support.
• Advanced proficiency in Python and strong software engineering fundamentals (design, testing, debugging).
• Hands‑on experience delivering AI/ML or Generative AI solutions in production (LLM‑enabled apps, RAG, orchestration).
• Experience with RAG architectures and vector databases / vector search
  .
• Experience with cloud platforms (
  Azure and/or AWS
  ).
• Strong troubleshooting, incident management, and root‑cause analysis skills.
• Experience working effectively with…