Our goal is to empower local government employees with the tools, technology, and support they need so they can deliver exceptional service to their taxpayers and feel proud of the work they do for their communities. We contribute by building software to streamline local government tax assessors’ workflows using AI. Specifically, we streamline the change of ownership process for real estate and create more seamless ways for tax offices to communicate digitally with their taxpayers.

For instance, when properties get bought and sold, local governments have to process reams of paper in order to update their systems and perform the analyses necessary to update the tax roll. Our software makes this process 10x faster and much more enjoyable for employees in the tax office to complete, and creates trust and goodwill in the minds of taxpayers.

Senior Software Engineer - AI

Just Appraised is modernizing local government processes related to real estate and property taxes. Our cutting-edge, AI-powered software, which leverages Natural Language Processing (NLP), replaces manual data entry to eliminate delays, backlogs, and errors. With hundreds of government entities across the United States relying on us, your work will directly help drive essential revenues and provide critical services to society.

Join a high-growth, YC-backed, and fully remote startup. As the second Senior Software Engineer focused on our AI Tooling and Conversation Engine, you'll have significant ownership in defining the technical future of our core product, Front Desk. This is an opportunity to lead technical decisions and directly influence a product making a real-world impact. This is a full-time, salaried position.

What You Will Work On

• ​​Build and evolve our Conversation Engine powering pre-drafted email, chat, and voice responses, including conversation state, memory, and high-quality response generation.
• Own the RAG pipeline end-to-end: document ingestion, chunking strategies, embeddings, indexing, retrieval (hybrid/vector), reranking, and grounded response generation.
• Implement AI Tooling / function calling to connect LLM workflows to internal systems (e.g., account lookup, case context retrieval, knowledge base queries) with strong validation and safe execution patterns.
• Design evaluation and quality systems for AI features: offline eval harnesses, golden datasets, human feedback loops, monitoring for hallucinations/grounding, and regression prevention.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work closely with business stakeholders and customers to translate requirements into technical specifications and documentation.
• Mentor and support engineering team members, promoting team efficiency and growth.
• Troubleshoot and debug complex issues, ensuring timely resolution and platform stability.
• Optimize application performance, reliability, and scalability, and uphold high standards for clean, maintainable code.
• Identify and proactively address technical debt and performance bottlenecks to drive iterative product improvement.

What We’re Looking For

• 5+ years of professional experience in Python development.
• 5+ years of experience with relational databases (e.g., PostgreSQL).
• 2+ years of experience with cloud environments, particularly AWS.
• Proven experience working with Large Language Models (LLMs) and building production-ready RAG pipelines.
• Strong proficiency in API design, data modeling, relational database design, and testing methodologies.
• Proficiency with modern DevOps practices: version control (Git), containerization (Docker), CI/CD (GitHub Actions), and automated testing frameworks.

We use a variety of technologies depending on the use case: Java, React, Python (Tensorflow), C#/.Net