Improving is committed to building a great place to work by cultivating an environment that fosters professional and personal relationships. We value open communication, personal growth, and shared rewards, which result in sustainable success.
Voted "best place to work" numerous times, Improving strives to create and maintain a culture that exemplifies teamwork, excellence, and fun We believe this kind of culture encourages both the inspiration and the motivation to achieve amazing things.
What you'll do
Own and build the production Python backend for multi-agent, conversational AI systems — orchestration and business logic, not just scripting
Design and implement multi-agent / LLM workflows using Pydantic AI, LangChain, or CrewAI (agent definitions, orchestration, tool calling)
Build RAG pipelines — retrieval, embeddings, vector search, chunking — including code-aware, codebase-level retrieval
Integrate the AI backend with a .NET / React front end at the API level
Work directly with US-based stakeholders in standups and client touchpoints
What you'll bring




Production-level Python engineering, owning orchestration and business logic
Hands-on experience with a multi-agent / LLM framework (Pydantic AI, LangChain, or CrewAI)
Working knowledge of an Azure-native stack (Azure SQL, Cosmos DB, Azure compute)
API-level integration across a .NET / React boundary, working independently
Strong spoken and written English for client-facing work
Meaningful working-hours overlap with US Eastern time
Nice to have
AI observability tooling (Pydantic Logfire or equivalent)
AI-assisted dev tools (Cursor or similar)
Consulting / client-delivery background in fast-moving, fail-fast environments
Cross-cloud exposure to AWS (Bedrock, Lambda, Textract / Comprehend)
Manufacturing, construction, or ERP-adjacent domain exposure
Static analysis / codebase parsing experience
Improving welcomes people from all backgrounds and walks of life, and this is reflected in our largely diverse community o

📌 Python + AWS Developer (Ciudad de México)
🏢 Improving
📍 Ciudad de México