Job Title: Staff Engineer, Innovation

Company Name: Lone Wolf Technologies

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/ncdqe0sq29ktz6if

Job Description: Posted 1d agoStaff Engineer, Innovation@ Lone Wolf TechnologiesView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Design AI platform, Productionize ML/AI, Architect data pipelinesRequirements Summary:8+ years software engineering; productionizing ML/AI; data pipelines; cloud-native AWS; full-stack; platform/infrastructure; strong tradeoff judgment.Technical Tools Mentioned:Snowflake, S3, Kafka, AWS Lambda, SageMaker, Bedrock, Java, Spring Boot
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.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.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 productsProductionize AI/ML capabilities — take models from prototype to production, owning reliability, performance, and scalabilityArchitect data pipelines that ingest, transform, and serve data from Lone Wolf's ecosystem to power AI featuresSet technical standards for AI engineering across the Innovation team — define patterns for model serving, feature stores, monitoring, and rollout strategiesEnsure models are designed for production constraints from the start, not retrofitted after the factEvaluate and integrate AI/ML tooling — LLM APIs, vector databases, orchestration frameworks, cloud AI services — making pragmatic build-vs-buy decisionsInfluence technical direction across engineering teams, providing architectural guidance on how product teams should integrate AI capabilitiesPrototype rapidly when needed — you're comfortable building end-to-end proof-of-concepts to validate feasibility before committing to full buildsWhat You Bring:8+ years of software engineering experience with increasing scope and technical complexityProven experience productionizing ML/AI models — you've taken data science output and made it work reliably in production at scaleDeep data pipeline expertise — you've built ingestion, transformation, and serving systems using tools like Snowflake, S3, Kafka, or similarStrong cloud-native architecture skills — AWS preferred (Lambda, Batch, S3, SageMaker, Bedrock); comfortable designing serverless and event-driven systemsFull-stack technical range — backend services (Java/Spring Boot or similar), APIs, and enough frontend awareness to build internal tools or review UIs when neededExperience working in platform/infrastructure roles where your work enables other teams to ship fasterExcellent judgment on tradeoffs — you know when to build robust and when to ship fast, and you can articulate whyWhat Sets You Apart:Experience with real estate technology, MLS data, or proptech platformsFamiliarity with LLM integration patterns — prompt engineering, RAG architectures, agent frameworksBackground in data-intensive optimization domainsTrack record of mentoring engineers and raising the technical bar on teams you work withExperience at high-growth or early-stage companies where you wore multiple hats