Software Engineer - AI

Just Appraised is a company focused on modernizing local government workflows through AI-powered software. The AI Engineer role involves designing and scaling AI systems that enhance government data interactions, emphasizing ownership and collaboration in building impactful production systems.

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: 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

Requirements:

• 2+ years of experience building production software, with strong proficiency in Python programming
• 2+ years of experience working with and optimizing relational databases (e.g., SQL, PostgreSQL)
• Experience with cloud infrastructure (AWS or similar)
• 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