Python AI developer

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.