Staff Innovation Engineer, Marketplace

Built Technologies•Nashville, TN

5d•Hybrid

About The Position

Built is an AI-first platform for construction and real estate finance, managing over $300 billion in annual capital for more than 340 lenders. The software Built engineers build governs how capital moves through construction projects. This role sits on the Marketplace team, which expands Built beyond workflow software into the services that surround every construction project, like inspections, appraisals, insurance, and materials sourcing. The team moves fast, standing up new products with real customers, building the durable platform underneath them, and sharpening the ones already in market. As a Staff Innovation Engineer, you will architect core systems, take new product ideas from concept to pilot, and improve products already in the hands of customers. This is a hands-on building role, not a people-management one, though at the staff level you are expected to drive system design on major initiatives and mentor other engineers on the team.

Requirements

7+ years of experience in software engineering, with strong backend/distributed-systems fundamentals — designing services and APIs that need to be reliable and maintainable, not just prototypes.
Hands-on experience building and shipping 0-to-1 products or features in a fast-iteration environment with real customers, ideally using design-partner or similar validation approaches.
Experience building with or integrating multiple LLM providers (e.g., Claude, Gemini, OpenAI) and document-extraction tooling (e.g., AWS Textract, GCP Document AI), including knowing when to fall back from a structured extraction tool to an LLM.
Experience building agent harnesses, RAG pipelines, or other AI/LLM-integrated workflows, along with the evals or testing practices needed to trust and improve them.
Comfort working across the stack as needed — this is a full-stack-capable engineering role, not a narrowly scoped frontend or backend specialization.
Genuine curiosity about the customer problem, low ego, and a preference for working closely with product rather than in a handoff model.

Nice To Haves

Data engineering, ML, or heavy document-processing background is a strong plus — a meaningful share of this team's work is reasoning over unstructured, non-standardized documents (legal terms, covenants, inspection reports).
Experience in financial services, construction, real estate, payments, lending, insurance, or other complex B2B environments is a meaningful differentiator, though not required.

Responsibilities

Design and build durable, reusable services that every Marketplace product depends on, such as purchase orders, contract terms, invoicing rails, and workflow/status state machines, using fine-grained microservices and asynchronous workflow orchestration (e.g., Temporal).
Partner directly with customers to scope a problem, ship a working version of a new marketplace product within about 30 days, and iterate weekly based on direct customer feedback.
Form and test hypotheses with discipline, knowing when to keep pushing, when to pivot, and when to walk away.
Focus on quality, craftsmanship, and driving adoption and usage for products that have already launched, optimizing workflows and click paths.
Build and refine agent harnesses and layered prompting systems (system, policy, and steering prompts) that automate real workflows, such as extracting and reasoning over unstructured documents.
Build and use internal eval tooling to test and improve AI systems before and after they ship.
Partner with product, design, sales, and the General Manager to understand customer problems and give input on pricing, GTM, and scale/pivot/kill calls.
Mentor other engineers on the team through code review and pairing.
Contribute to system design and architecture decisions.
Maintain the team's service and product-API boundaries as the team scales its footprint.