Principal Engineer

At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future. Most agentic AI jobs end at a chat window. This one ends with a satellite getting tasked. And that's where you come in! Our client is building the algorithms that find what's moving, where, and why it matters. If you want your work flying in production instead of sitting in a paper, keep reading. As the Principal AI Engineer, you own the AI architecture underneath it. Not a feature on someone else’s roadmap, and not a research track that never ships. This is the seat where the agent design, the systems engineering, and the interface people actually touch all belong to one person. Is that person you? What You'll Build: Agentic systems that act. Architect, prototype, and productionize LLM-driven workflows that take complex, multi-source geospatial inputs and turn them into immediate operational actions, not recommendations someone else has to execute. Research that reaches production. Work at the edge of autonomous agents, multimodal reasoning, graph networks, and retrieval-augmented systems, then carry that work through to hardened, scalable microservices across cloud and edge. Performance where it matters. Write clean, fast software across backend services, low-latency data pipelines, and interactive interfaces, using the right language for the job across Rust, C++, Python, and Type Script. Features end to end. Own the whole vertical, from algorithmic models and backend microservices up to the interfaces that let non-technical analysts work alongside AI agents with a human in the loop. Technical authority. Set the standard for AI development, security, and algorithmic deployment across the Innovation, Product, and Core Software Engineering teams.