Innovation Software Engineer 1

Built Technologies•Nashville, TN

About The Position

Built Technologies is an AI-first platform for construction and real estate finance. The Innovation Software Engineer will join Marketplace, a business unit expanding Built into services surrounding construction projects, including inspections, appraisals, insurance, and materials sourcing. The Marketplace team builds foundational technology, experiments with new products, and puts early versions in customers’ hands to improve them using real feedback. This is an early-career role for someone who enjoys building software, learns quickly, and wants to understand how software affects the people who use it. The engineer will write code, create prototypes, experiment with AI-powered workflows, and learn to turn customer problems into working software. They will work with experienced engineers who provide mentorship and support while the engineer develops technical skills and takes on increasing ownership. The team is a small, experienced, collaborative group with a culture of mentorship, code review, and hands-on problem solving. The engineer will work alongside Senior and Staff engineers, Product, Design, and business leaders, learning how products progress from initial ideas to customer use. Success includes shipping meaningful code or prototypes, contributing to AI-powered features or automation, developing sound engineering judgment, and gaining a better understanding of Marketplace customer problems. Built lists a salary range of $80,000–$110,000 USD per year. The total rewards package includes equity, medical, dental and vision coverage, unlimited PTO, and other benefits. Employees who are not based in the Nashville area must travel to the Nashville office at least twice a year for company gatherings; additional travel may be required based on role and business needs.

Requirements

0–2 years of experience in software engineering, product engineering, or a related technical role; recent graduates and career changers with strong hands-on projects are encouraged to apply.
Experience writing code in TypeScript, JavaScript, or Python through professional work, internships, coursework, or personal projects.
Familiarity with APIs, databases, and fundamental software engineering concepts.
Experience using AI coding tools or experimenting with LLMs to build something, and curiosity about incorporating AI into real products.
At least one project to discuss, including the problem addressed, the approach taken, and lessons learned.
Genuine interest in building software, solving problems, and understanding the impact of work on customers.
Comfort learning unfamiliar technologies, asking for help, and incorporating feedback.
Strong communication skills and interest in collaborating with engineers, Product, and other teams.

Nice To Haves

Experience with React, Node.js, SQL, AWS, or other cloud technologies.
Exposure to LLM APIs, agent frameworks, retrieval-augmented generation (RAG), document processing, or workflow automation.
Experience building side projects, contributing to open source, participating in hackathons, or launching something people use.
Internship or early-career experience in a startup, SaaS company, fintech, or another fast-moving technical environment.
Interest in financial services, construction, real estate, payments, lending, or other complex B2B industries.

Responsibilities

Develop features, APIs, internal tools, and reusable components for Marketplace products, collaborating on design, implementation, testing, and code review.
Turn early product concepts into working prototypes and minimum viable products, then use feedback to improve them.
Use AI coding tools in daily development and help build AI-powered features such as document extraction, data validation, agent-driven workflows, and automation.
Develop knowledge of backend services, APIs, asynchronous workflows, data models, testing, and practices for reliable and maintainable software.
Participate in customer discovery, observe product use, and translate findings into product improvements.
Identify workflow friction, fix bugs, improve usability, and make products more reliable and valuable to customers.
Understand workflows before automating them, then build tools and integrations to reduce repetitive work and improve efficiency.
Participate in code reviews, incorporate feedback, and gradually take responsibility for larger pieces of engineering work.
Leverage AI tools to improve productivity, quality, and speed; use AI for drafting, analysis, summarization, and problem-solving.
Identify opportunities to streamline workflows with automation and AI, apply AI to support decision-making and technical or product insights, and share effective AI practices with the team.