USA_Artificial Intelligence Engineer

**Location

** Bellevue, WA (Hybrid — 3 days/week) or Remote

**_Role Overview_**

We’re building a new product in the real estate tech space and are looking for a **Senior AI Engineer** to join our founding AI team. You’ll help turn generative AI ideas into **production-ready features** , architect and ship **AI-powered agents** , and influence the long-term technical direction of our AI roadmap. You’ll work closely with our existing product stack ( **Ruby on Rails + React** ) and leverage **AWS AI infrastructure** to deliver scalable, secure, high-performing systems.

**_Key Responsibilities_**

AI Agent Development

• 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.

AI/ML System Development (End-to-End)

• 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.

Full-Stack Integration

• 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.

Data Pipeline Management

• 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.

Performance Monitoring & Optimization

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

Collaboration & Technical Leadership

• 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.

Innovation & Applied Research

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

**_Qualifications (Required)_**

• 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.

**_Preferred (Nice to Have)_**

• 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.