Backend Engineer - Data Platform / AI Agents

Villa Homes • Colorado Springs, CO

81d • $144,500 - $170,000

About The Position

Villa is building America’s leading next-generation homebuilding platform. With a mission to be the easiest, fastest and most cost-efficient way to build homes, Villa is a highly scalable new approach to offsite homebuilding and is critical in solving the many problems facing the U.S. housing market. Villa provides end-to-end services for customers that span feasibility, design, permitting, and construction of high-quality homes built using modern offsite construction. Villa is currently the largest ADU builder in California and is growing rapidly into other housing products and geographies. We are looking for a Backend Engineer to join our team.

Requirements

• 7+ years building production-quality backend systems, with at least 5 years leveraging API-based frameworks (FastAPI preferred)
• Demonstrated expertise in sourcing, evaluating, and managing diverse, complex datasets (e.g., zoning, infrastructure, real estate, and cost data).
• Deep SQL proficiency, including Postgres schema design, performance tuning, and spatial queries using PostGIS.
• Proven experience migrating from NoSQL (Firestore, DynamoDB, MongoDB) to relational schemas, understanding trade-offs and best practices.
• Hands-on experience with LLM and AI stacks (OpenAI, Claude, Gemini), and frameworks like Langchain for agentic AI implementations.
• Expertise designing secure, versioned REST or GraphQL APIs with practical authentication mechanisms.
• Proficiency with Cloud & DevOps tools: Docker, GitHub Actions (or equivalent CI/CD pipelines), and cloud providers (AWS/GCP/Azure).
• Track record of thriving in lean, dynamic, startup environments.

Nice To Haves

• Geospatial analytics skills for implementing setback buffers, parcel scoring, and optimal lot-layout algorithms.
• Familiarity with construction tech and public/government land-use datasets and real estate analytics.

Responsibilities

• Own the backend – Architect, build, and maintain scalable FastAPI endpoints that transform fragmented zoning, permitting, infrastructure, and product data into structured APIs powering our internal site-design and estimation systems.
• Source & Curate Strategic Data – Identify, evaluate, and secure access to diverse, high-value datasets (zoning regulations, building codes, parcel data, infrastructure availability, environmental constraints, pricing, etc.) from government, public, and commercial sources.
• Master Data Modeling & Management – Design clear and scalable Postgres schemas optimized for spatial and relational queries. Lead zero-downtime migrations from legacy data stores (e.g., Firestore) while strategically leveraging NoSQL where beneficial.
• Power AI-Driven Workflows – Implement cutting-edge Agentic AI frameworks, vector search, and retrieval-augmented generation to automate parcel scoring, site-layout generation, cost estimation, and feasibility analysis.
• Build Robust ETL Pipelines – Develop reliable, automated processes ensuring external datasets remain accurate and timely with minimal manual intervention, significantly improving data freshness and trustworthiness.
• Enable Data-Driven Decisions – Own and enhance our Fivetran → Postgres → BigQuery analytics pipeline, empowering teams with reliable self-service dashboards critical for strategic decision-making.

Benefits

• $144,500 - $170,000 a year based on geographic location.
• Compensation tiers based on location.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level