**About** 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.