Senior AI Engineer

Position: Senior AI Engineer

Location: Bellevue, WA Headquarters-Hybrid (3 days per week) / Remote

Annual Salary Range: $160-$190 (depending on experience)

Reports to: Engineering Manager (with potential to grow into Lead AI Engineer reporting to VP Engineering) 

TO BE CONSIDERED:

MUST be a current local resident with the ability to be in the Bellevue office 3 days a week

MUST be able to to work for any employer without sponsorship including student visa

MUST have CURRENT Ruby on Rails and AI systems experience

Who We Are: 

MoxiWorks is a real estate technology company built by real estate pros, for real estate pros. Our marketing platform helps agents and brokerages stay focused on what matters most: finding, winning, and closing more deals. 

 
With decades of industry experience, we understand the challenges because we’ve lived them. That’s why everything we build is designed to make real estate easier, from connecting systems to simplifying follow-up. 

 
Trusted by 800+ brokerages and 400,000 agents, MoxiWorks is a leader in PropTech and a proud partner to the people moving this industry forward. 

Our Core Values: 

• Customer First 
• Innovative 
• Passionate 
• Sense of Urgency 
• Accountable & Reliable 
• Relentless Execution 

“Come join MoxiWorks as we are committed in delivering results with shared purpose with values that empower and connects us”. 

About the Role

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. 

Your Next Opportunity

• 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. 

What Qualifies You?

• 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. 

Career Growth Path 

This role offers a clear progression into Lead AI Engineer — responsible for technical direction, mentoring, and team leadership as we scale our AI function. You’ll play a pivotal role in defining our AI strategy and establishing best practices across product and engineering teams. 

Moxians Are Covered

All benefits are subject to review on an annual basis whereas we continuously assess our total reward proposition aligning with the needs of our people, our business and the market. 

Benefits are offered 1st of the month.  

View Full Benefit Program: Sequoia

• 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  

Note: benefits may vary by country and region we operate in.  

EEO Statement 

MoxiWorks is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law. 

As part of the employment process, MoxiWorks conducts comprehensive background checks on all final candidates for employment. The background check process may include a review of criminal history, credit history, employment verification, education verification, and other relevant information. 

MoxiWorks is committed to complying with all applicable federal, state, and local laws concerning background checks. We ensure that our background check process is fair, consistent, and transparent, and we follow all legal requirements regarding the timing and scope of such checks. 

For positions in jurisdictions with specific legal requirements, such as restrictions on the timing of criminal history inquiries, we will conduct these checks in accordance with local laws and only after a conditional offer of employment has been made, where required.