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distributed systems prompt engineering rag llm temporalπ Description
- Own the AI-powered rates platform and self-serve freight booking UX.
- Develop AI agents to parse rate sheets and manage pricing across freight modes.
- Build the intelligence layer enabling clients to book freight with tech, not humans.
- Shape the technical direction and establish a scalable codebase for a tech-run model.
- Collaborate with Pricing, Sales, Ops, and Design to ship high-usage surfaces.
- Mentor engineers and set the team's technical roadmap and hiring bar.
π― Requirements
- LLM fluency with agent patterns, RAG, and prompt engineering.
- Agentic orchestration: Temporal and reliable AI systems.
- Entrepreneurial drive to automate high-leverage problems.
- Product instincts for data-heavy apps with strong user experience.
- Architecture leadership across multiple teams and systems.
- Technical rigor and clear communication with partners and engineers.
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