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At Just Appraised, we’re replacing outdated, manual local government workflows with modern software used by hundreds of government agencies across the United States. Our cutting-edge, AI-powered software, which leverages Natural Language Processing (NLP), replaces manual data entry to eliminate delays, backlogs, and errors. This work directly impacts how communities fund schools, infrastructure, and public services. We’re hiring an AI Engineer to help build the systems behind our AI conversation engine and automation platform. You’ll design and scale AI systems that generate responses, retrieve relevant knowledge, and connect LLM workflows to real government data systems. This is a role for engineers who enjoy building production AI systems with real applications and impact — not just prototypes.
Job Responsibility:
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
Care about building reliable AI systems in production
Enjoy working on complex real-world problems
Take ownership of systems from ideation to deployment
What we offer:
Competitive compensation and stock equity plan
Comprehensive benefits package that includes medical, dental, vision, and life insurance
Company sponsored pre-tax retirement savings program (401k)
A flexible work environment that supports working from home