Support Technician

About

Git Law 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.

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 Lang Chain/Lang Graph 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.

• 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).

• Build the state machines that drive agent behavior (using Lang Graph 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.

• 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 Postgre
  
  SQL is preferred.
• Experience with Git-based workflows and collaborative development.
• Comfortable working with Docker and containerized development environments.

• Strong problem-solving and ownership mindset.
• Clear communication and ability to work asynchronously.
• Attention to detail and willingness to iterate.

• Experience with Rust (we use Rust bindings for high-performance document processing).
• Familiarity with Lang Graph 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.

• Competitive salary and bonuses.
• Fully remote work and flexible hours.
• Growth opportunities and ownership of core agent features.
• A collaborative and practical engineering culture.