MoxiWorks

Senior AI Engineer

MoxiWorks

full-time

Posted on:

Location Type: Hybrid

Location: Bellevue • Washington • 🇺🇸 United States

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Salary

💰 $160,000 - $190,000 per year

Job Level

Senior

Tech Stack

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
Soft skills
collaborationmentorshipcross-functional teamworkproblem-solvingcommunicationresults-oriented
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data Science
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