AWSCloudPythonPyTorchReactRubyRuby on RailsTensorflow
About the role
Design, build, and maintain intelligent, autonomous, or conversational AI agents to enhance user productivity and automate key workflows.
Architect, develop, and maintain scalable end-to-end AI systems and generative AI applications leveraging AWS AI services and open-source frameworks.
Collaborate with backend (Ruby on Rails) and frontend (React) engineers to seamlessly integrate AI-driven features into our core product experience.
Develop and manage robust data pipelines for ingestion, processing, and transformation of real estate datasets to power model training and inference.
Partner closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices.
Monitor and optimize deployed models, APIs, and agents for reliability, accuracy, and cost efficiency.
Evaluate and apply new technologies in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI to solve complex real-world problems.
Provide mentorship to peers, contribute to coding standards, and help shape the long-term AI technical roadmap.
Manage the full AI development lifecycle — from concept and design through to deployment, performance tracking, and iteration.
Requirements
MUST be a current local resident with the ability to be in the Bellevue office 3 days a week
MUST be able to work for any employer without sponsorship including student visa
MUST have CURRENT Ruby on Rails and AI systems experience
Bachelor’s or advanced degree in Computer Science, Data Science, or related field.
5+ years of experience in AI, ML, or software engineering roles with strong exposure to production-grade AI systems.
Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or LangChain.
Hands-on experience deploying AI models or services in a cloud environment (AWS preferred).
Solid understanding of data structures, algorithms, and distributed system design.
Strong grasp of LLMs, Generative AI, and RAG methodologies.
Excellent collaboration skills and a track record of delivering results in cross-functional teams.
Preferred: Experience integrating AI into web applications built on Ruby on Rails and React.
Familiarity with vector databases (e.g., Pinecone, FAISS, or Weaviate) and embeddings for information retrieval.
Exposure to MLOps tools and best practices (SageMaker, MLflow, etc.).
Interest in real estate or property technology applications.
Benefits
Medical/Dental/Vision
Paid Time Off
Holiday Pay-11 days
Breavement-3 days
Get paid on your birthday
STD/LTD-company paid
Supplemental Life, Critical Illness, Accident
Sequoia PerkSpot
Employee Assistance Program
Wellbeing Program
Discounted Pet Insurance
Office Lunch
Employee Engagement Programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Ruby on RailsAI systemsPythonPyTorchTensorFlowLangChaindata structuresalgorithmsdistributed system designMLOps