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 (Fast API/Pydantic) with a focus on performance and scalability. Agentic Frameworks & Reasoning: Hands-on experience with Lang Graph, DSPy, or Lang Chain. 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.