Senior Software Engineer – AI

🕒 February 8

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Just Appraised

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏛️ Government

☁️ SaaS

Artificial Intelligence • Government • SaaS

Just Appraised is a company that specializes in streamlining tax assessment workflows for local government agencies using artificial intelligence. Their software enhances efficiency in the change of ownership process, exemptions applications, and personal property filings. Just Appraised provides highly accurate matching of transfer documents to parcels, improves visibility for staff with an online dashboard, and utilizes advanced algorithms to flag transactions for further review. Their solutions enable quicker processing times, significantly reducing backlogs as evidenced by past performance improvements in handling exemptions. Located in San Francisco, Just Appraised partners with various entities to deliver actionable insights and more efficient public sector processes.

📋 Description

• 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.

🎯 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.