
Real Estate • Finance • Enterprise
First American is a historical company that has been operating since 1889, evolving into a $9 billion organization with over 20,000 employees and more than 700 offices worldwide. The company provides a range of products and services that assist homebuyers, sellers, businesses, and investors in the real estate market. With a strong focus on employee engagement and culture, First American emphasizes innovation, technology, and community involvement, driving transformation within the real estate industry.
October 14
🏄 California – Remote
💵 $126.1k - $212.7k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Real Estate • Finance • Enterprise
First American is a historical company that has been operating since 1889, evolving into a $9 billion organization with over 20,000 employees and more than 700 offices worldwide. The company provides a range of products and services that assist homebuyers, sellers, businesses, and investors in the real estate market. With a strong focus on employee engagement and culture, First American emphasizes innovation, technology, and community involvement, driving transformation within the real estate industry.
• 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 finetuning 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 robust evaluation pipelines • Proficiency in programming languages commonly used in AI development, such as Python, with an understanding of relevant APIs and frameworks • Ability to work in an iterative, experimental environment and adapt to rapidly changing model capabilities and tools • Excellent communication and collaboration skills for working with diverse, cross-functional teams.
• medical • dental • vision • 401k • PTO/paid sick leave • employee stock purchase plan
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