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 reflect

📌 GenAI Engineer + Python + LLM's (Ciudad de México)
🏢 Improving
📍 Ciudad de México