USA_Artificial Intelligence Engineer

• Design, build, and maintain intelligent, autonomous, or conversational AI agents to automate workflows and improve user productivity.
• Implement agentic patterns and orchestration for real-world product use cases.

• Architect, develop, and maintain scalable end-to-end AI systems and generative AI applications using AWS AI services and open-source frameworks.
• Own the AI lifecycle from concept and design through deployment, monitoring, and iteration.

• Partner with backend (Ruby on Rails) and frontend (React) engineers to integrate AI-driven capabilities into the core product experience.
• Build APIs/services that support reliable AI features and excellent UX.

• Develop and manage robust pipelines for ingestion, processing, and transformation of real estate datasets to support model training and inference.
• Ensure data quality, lineage, and consistency across workflows.

• Monitor and optimize deployed models, agents, and APIs for reliability, accuracy, latency, and cost efficiency.
• Establish best practices for observability and performance tracking.

• Collaborate closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices.
• Contribute to coding standards, mentor peers, and help shape the long-term AI technical roadmap.

• Evaluate and apply new technologies in LLMs, Retrieval-Augmented Generation (RAG), and agentic AI to solve complex problems.

• Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in AI/ML or software engineering roles with exposure to production-grade AI systems.
• Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or LangChain (or equivalents).
• Hands-on experience deploying AI models/services in a cloud environment (AWS preferred).
• Strong understanding of data structures, algorithms, and distributed systems design.
• Solid grasp of LLMs, Generative AI, and RAG methodologies.
• Excellent collaboration skills and a track record of delivering results in cross-functional teams.

• Experience integrating AI into web applications built on Ruby on Rails and React.
• Familiarity with vector databases and embeddings (e.g., Pinecone, FAISS, Weaviate).
• Exposure to MLOps tools and best practices (e.g., SageMaker, MLflow, CI/CD, model monitoring).
• Interest in real estate or property technology (PropTech) applications.

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