Artificial Intelligence Engineer

Overview

Are you looking to build real AI-enabled applications—not just models—and help modernize critical business systems used across a nationwide organization?

A leading operator in the single-family rental (SFR) housing market, this company manages tens of thousands of homes across 30+ U.S. metros. They’ve invested heavily in modern engineering, cloud technologies, and AI-driven platforms to streamline operations, support residents, and power large-scale field workflows.

They are launching a new AI Engineering initiative to rebuild and modernize key internal applications with automation, GenAI, and scalable cloud services.

As an AI Engineer
, you’ll be part of a full-stack engineering team responsible for building AI-enabled business applications that directly support leasing, maintenance, operations, and resident services.

You’ll work on modernizing a business-critical Salesforce system into a new platform (Palantir), adding automation and GenAI capabilities along the way.

Key responsibilities include:

• Building backend services and APIs using Python or Node.js/Type Script
• Integrating GenAI and RAG-based features into internal applications
• Developing full-stack features within the company’s integration/UI platform
• Learning existing business processes and rebuilding workflows in a modern environment
• Working with engineering, data, platform, and business teams to define and ship AI features
• Delivering components and automation that support a large migration project (6–8 month cycles)

This is a highly visible engineering role with direct business impact—not an ML research or model-training position.

• Proficiency in Python or Node.js/Type Script
• Exposure to GenAI concepts such as LLM integration, RAG, embeddings, or vector search
• Ability to learn new technologies quickly and work across multiple teams
• Strong communication skills and a consultative mindset
• Comfort operating in ambiguous, fast-moving technical environments

Nice-to-haves:

• AWS experience
• Palantir or ontology-based platforms (not required—trainable)

• $115k–$130k base salary + 10% bonus
• Hybrid schedule (3 days onsite, 2 days remote)
• Opportunity to work with modern AI tools + platform technologies
• Direct impact on high-visibility, business-critical systems
• Strong learning culture and clear runway for growth

If you want to build practical, impactful AI features inside real enterprise applications—not theoretical models—this role offers the perfect blend of engineering and innovation.