Senior Software Engineer – Data Platform

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LightBox

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

🏠 Real Estate

☁️ SaaS

🤝 B2B

Real Estate • SaaS • B2B

LightBox is a provider of connected property data, location intelligence, and software products for the commercial real estate market. The company aggregates authoritative property and spatial datasets (parcels, ownership, building footprints, geocoding, zoning, transaction history, hazard and environmental data) and delivers them via platforms (LightBox Vision/formerly LandVision), APIs, bulk data delivery, and professional services. LightBox’s offerings support CRE workflows across due diligence, valuation, capital markets, lending, marketing/RCM, CRM (ClientLook), and government use cases — primarily serving institutional CRE professionals, developers, lenders, and government agencies.

📋 Description

• Design and implement API gateways, model routing layers, and service infrastructure connecting fine-tuned CRE models with production applications • Develop internal developer tooling, including prompt management interfaces, evaluation dashboards, and trace viewers • Implement integration patterns for embedding AI capabilities into LightBox's existing workflow applications • Build observability and monitoring infrastructure for AI workloads, including latency tracking, quality metrics, cost attribution, and usage analytics • Contribute to knowledge retrieval and caching layers, optimizing accuracy and performance at scale • Collaborate with ML engineers on model serving infrastructure, bridging training outputs and production deployment • Participate in architecture decisions and technical design reviews • Build self-service infrastructure and developer-facing tooling that makes LightBox's AI capabilities accessible and reliable • Enable AI models and agents to be composed, deployed, and consumed by internal teams and external partners

🎯 Requirements

• 6+ years of software engineering experience with a strong full-stack foundation (backend-leaning preferred) • Production experience building APIs, microservices, and platform infrastructure in Python and/or TypeScript/Node.js • Solid understanding of cloud infrastructure (AWS or GCP), containerization (Docker, Kubernetes), and CI/CD pipelines • Experience building developer-facing tools, SDKs, or internal platforms that other engineers consume • Familiarity with LLM integration patterns: API-based model consumption, prompt engineering, retrieval-augmented generation, and tool/function calling • Strong fundamentals in distributed systems, data modeling, and API design • Comfort working in a small team with high autonomy, owning features end-to-end from design through deployment and monitoring • Preferred: Experience with Model Context Protocol (MCP) or similar structured AI integration standards • Preferred: Background in data-intensive platforms, particularly property data, geospatial systems, or document processing pipelines • Preferred: Familiarity with model serving frameworks (LiteLLM, OpenRouter, AWS Bedrock) and inference optimization • Preferred: Experience in real estate technology, financial services, or other regulated/document-heavy industries • Preferred: Prior work building observability or evaluation tooling for ML/AI systems