Key Facts

Remote From:

United States

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Mentorship
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Decision Making

Lone Wolf Technologies

About Lone Wolf Technologies

At Lone Wolf Technologies, we believe making tech for real estate is about much more than just making the best tools. It’s about making them connect, all in one place—to make real estate simple. Our mission is to provide agents, brokers, admins, and associations alike with the technology tools they need to lead in real estate—from the leading transaction solutions in North America to the industry standard in back office and accounting. We’ve been in real estate since our very first day, over 35 years ago now—and in that time, we’ve worked with our users to create technology that works the way they do, connects the way they do, and provides an exceptional experience the way they do.

Company type: SME

Founded: 2018

Company size: 201 - 500

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Job description

We're building AI capabilities into the core of Lone Wolf's platform — transforming how real estate professionals manage transactions, serve clients, and grow their businesses. As Staff Engineer, AI Platform, you'll be the technical backbone of that effort: designing the infrastructure, data pipelines, and production systems that turn AI/ML models into reliable, scalable product features used by hundreds of thousands of real estate professionals.

This is a high-impact individual contributor role. You'll set architectural direction for how AI gets built and shipped at Lone Wolf, partner closely with product teams, and ensure our AI systems are production-grade from day one.

What You'll Do:

Design and build the AI platform layer — the data pipelines, serving infrastructure, and integration patterns that connect ML models to Lone Wolf's products
Productionize AI/ML capabilities — take models from prototype to production, owning reliability, performance, and scalability
Architect data pipelines that ingest, transform, and serve data from Lone Wolf's ecosystem to power AI features
Set technical standards for AI engineering across the Innovation team — define patterns for model serving, feature stores, monitoring, and rollout strategies
Ensure models are designed for production constraints from the start, not retrofitted after the fact
Evaluate and integrate AI/ML tooling — LLM APIs, vector databases, orchestration frameworks, cloud AI services — making pragmatic build-vs-buy decisions
Influence technical direction across engineering teams, providing architectural guidance on how product teams should integrate AI capabilities
Prototype rapidly when needed — you're comfortable building end-to-end proof-of-concepts to validate feasibility before committing to full builds

What You Bring:

8+ years of software engineering experience with increasing scope and technical complexity
Proven experience productionizing ML/AI models — you've taken data science output and made it work reliably in production at scale
Deep data pipeline expertise — you've built ingestion, transformation, and serving systems using tools like Snowflake, S3, Kafka, or similar
Strong cloud-native architecture skills — AWS preferred (Lambda, Batch, S3, SageMaker, Bedrock); comfortable designing serverless and event-driven systems
Full-stack technical range — backend services (Java/Spring Boot or similar), APIs, and enough frontend awareness to build internal tools or review UIs when needed
Experience working in platform/infrastructure roles where your work enables other teams to ship faster
Excellent judgment on tradeoffs — you know when to build robust and when to ship fast, and you can articulate why

What Sets You Apart:

Experience with real estate technology, MLS data, or proptech platforms
Familiarity with LLM integration patterns — prompt engineering, RAG architectures, agent frameworks
Background in data-intensive optimization domains
Track record of mentoring engineers and raising the technical bar on teams you work with
Experience at high-growth or early-stage companies where you wore multiple hats