Senior AI Engineer

MoxiWorksBellevue, WA
69d

About The Position

We’re building an exciting new product in the real estate tech space — and we’re looking for a Senior AI Engineer to join our founding AI team. This role is ideal for someone who’s passionate about turning generative AI concepts into production-ready features and shaping the future of intelligent software experiences. You’ll play a key role in architecting and delivering AI-powered agents that leverage our existing product ecosystem built on Ruby on Rails and React, while tapping into AWS AI infrastructure to deploy scalable, secure, and high-performing systems. As one of the first AI engineers on the team, you’ll have the opportunity to grow into a Lead AI Engineer role — mentoring others, driving AI strategy, and influencing technical direction across our products.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • AI Agent Development: Design, build, and maintain intelligent, autonomous, or conversational AI agents to enhance user productivity and automate key workflows.
  • AI/ML System Development: Architect, develop, and maintain scalable end-to-end AI systems and generative AI applications leveraging AWS AI services and open-source frameworks.
  • Full-Stack Integration: Collaborate with backend (Ruby on Rails) and frontend (React) engineers to seamlessly integrate AI-driven features into our core product experience.
  • Data Pipeline Management: Develop and manage robust data pipelines for ingestion, processing, and transformation of real estate datasets to power model training and inference.
  • Collaboration & Leadership: Partner closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices.
  • Performance Monitoring: Monitor and optimize deployed models, APIs, and agents for reliability, accuracy, and cost efficiency.
  • Innovation & Research: Evaluate and apply new technologies in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI to solve complex real-world problems.
  • Technical Leadership: Provide mentorship to peers, contribute to coding standards, and help shape the long-term AI technical roadmap.
  • Lifecycle Ownership: Manage the full AI development lifecycle — from concept and design through to deployment, performance tracking, and iteration.

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
  • PerkSpot
  • Employee Assistance Program
  • Wellbeing Program
  • Discounted Pet Insurance
  • Office Lunch
  • Employee Engagement Programs
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