USA_Artificial Intelligence Engineer

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

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.

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.

• 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, Tensor Flow, or Lang Chain (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.,
  Sage Maker, MLflow
  , CI/CD, model monitoring).

• Interest in real estate or property technology (Prop Tech) applications.