Just Appraised is modernizing local government processes related to real estate and property taxes by replacing manual data entry with AI-powered software to eliminate delays, backlogs, and errors, thereby helping drive essential revenues and provide critical services to society.
Requirements
- 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.
Responsibilities
- 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.
- Troubleshoot and debug complex issues, ensuring timely resolution and platform stability.
Other
- full-time, fully remote
- Senior Software Engineer focused on our AI Tooling and Conversation Engine
- significant ownership in defining the technical future of our core product, Front Desk
- opportunity to lead technical decisions and directly influence a product making a real-world impact
- Mentor and support engineering team members, promoting team efficiency and growth.
