Backend Engineer - Python AI

Overview We are looking for an engineer to help scale our backend infrastructure and deepen our agentic capabilities. This individual will not just be wrapping APIs; they will be building the memory layers, RAG pipelines, and ontological structures that allow our AI to serve as a true co-pilot for logistics professionals. Technical Requirements - Expert Python Engineering: Production-grade, asynchronous Python (FastAPI/Pydantic) with a focus on performance and scalability. - Agentic Frameworks & Reasoning: Hands-on experience with LangGraph, DSPy, or LangChain. Must understand state management, agent loops, and reliable tool-calling. Experience with evaluations is a significant bonus. - Knowledge Graphs & Ontologies: Experience building or working with ontologies. - Advanced Memory Management: Implementation of "long-term memory" using vector databases and schemas to maintain context over long horizons. - RAG & LLMs: Experience with RAG optimization (reranking, query transformation) and/or fine-tuning LLMs for domain-specific reasoning. - Experience with GCP is preferred - Understands Secure SDLC practices Core Competencies - Quick learner with high agency. - A "product engineer" mindset. - Comfort with ambiguity and a sense of extreme ownership. - Experience working in a fast paced environment.