Senior AI Engineer; Remote

Who We Are

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 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. For more information, please visit

Remote Work Welcome 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 the best-of-the-best technology experts who will envision, design, build, and deliver innovative solutions that provide exceptional experiences and lasting value to our customers. First American is launching a pioneering AI Centre of Excellence to accelerate innovation, responsibly scale AI adoption, and unlock transformative value across our business.

We are seeking Senior AI Software Engineer candidates to join our Centre of Excellence. The ideal candidate has strong technical expertise, a product mindset, and takes a hands‑on approach to building high‑quality and sustainable software products.

As a Senior AI Software Engineer, you will be instrumental in building, deploying, and maintaining production‑ready AI applications using readily available foundation models. You will bridge the gap between model development and practical application, ensuring robust, scalable, and efficient AI systems that deliver tangible value. We’re looking for passionate individuals who thrive in fast‑paced, collaborative environments, are committed to ethical AI practices, and are excited by the opportunity to help reshape a 135‑year‑old company from the inside out.

• Design and implement end‑to‑end AI systems, integrating foundation models into various applications and workflows.
• Apply and optimize model adaptation techniques, including prompt engineering, Retrieval‑Augmented Generation (RAG), and fine‑tuning, to tailor foundation models for specific use cases.
• Develop and integrate AI architecture components such as context enhancement, input/output guardrails, model routers/gateways, caching mechanisms, and agent patterns to ensure system reliability and security.
• Implement AI pipeline orchestration to define and chain together different components of an AI system, ensuring seamless data flow and complex workflow execution.
• Optimize AI model inference for latency and cost, utilizing techniques such as quantization, distillation, and parallelism.
• Collaborate closely with Data Scientists to integrate trained models and with Data Engineers to ensure efficient data pipelines for AI applications.
• Contribute to defining and implementing systematic evaluation pipelines for AI applications, focusing on metrics such as factual consistency, generation capability, and instruction‑following for open‑ended outputs.
• Engage in continuous monitoring and observability of AI systems in production to detect failures and drifts, and to identify opportunities for improvement and cost savings.
• Assist in productizing AI‑powered outputs and features, ensuring alignment with customer needs and product strategy.

• 5+ years of experience.
• Proven experience building applications with foundation models and deploying AI systems into production environments.
• Strong proficiency in prompt engineering, RAG, and fine‑tuning techniques for model adaptation.
• Familiarity with AI architecture patterns and their practical implementation.
• Understanding of inference optimization techniques and experience with high‑performance computing environments (e.g., GPUs).
• Knowledge of AI evaluation methodologies for open‑ended models and experience setting up…