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.