About Us GitLaw builds tools that make legal work transparent and accessible. Our platform helps users collaborate on contracts, track changes, and use AI to summarize and modify documents. We’re a small team where engineers have a real impact on product decisions. Position Overview We are looking for a strong Python engineer to join our Chat Agent team. Your main focus will be developing and improving our AI agent: planning, reasoning, RAG pipelines, document integrations, evaluations, and LangChain/LangGraph workflows. Note: We value strong software architecture and Python internals significantly more than experience with specific LLM frameworks. If you are a great engineer, we will teach you the AI parts. Key Responsibilities Core Engineering & Architecture (Primary) • Design and maintain a strictly typed, asynchronous Python codebase (Python 3.13, uvloop). • Ensure rigorous code quality using strict mypy typing, ruff, and comprehensive testing strategies. • Contribute to performance tuning and reliability (async I/O, connection pooling, uvloop, caching). Agent Development • Build the state machines that drive agent behavior (using LangGraph logic). • Integrate the agent with legal document workflows (drafting, editing, template search, analysis). • Improve RAG pipelines (Vertex AI search, in-memory/FAISS-like stores) and context management. Requirements: Technical Skills • Expert-level knowledge of Python 3.10+ (specifically asyncio, typing system, and concurrency patterns). • Experience building backend services (REST and/or gRPC) in production. • Solid understanding of relational databases and SQL; experience with PostgreSQL is preferred. • Experience with Git-based workflows and collaborative development. • Comfortable working with Docker and containerized development environments. Soft Skills • Strong problem-solving and ownership mindset. • Clear communication and ability to work asynchronously. • Attention to detail and willingness to iterate. Nice to Have • Experience with Rust (we use Rust bindings for high-performance document processing). • Familiarity with LangGraph or state-machine-based agent architectures. • Knowledge of vector databases and RAG systems. • Experience working with LLMs (OpenAI, Anthropic, etc.). • Experience building chatbots or autonomous agents. • Familiarity with GCP. • Understanding of QA/Eval tools for LLM applications. • Experience with monitoring and evaluating LLM outputs. What We Offer • Competitive salary and bonuses. • Fully remote work and flexible hours. • Growth opportunities and ownership of core agent features. • A collaborative and practical engineering culture. Apply tot his job