Overview

The R&D Engineer is a researcher-practitioner - someone equally comfortable reading papers and shipping prototypes. They are responsible for staying close to the frontier of LLM and AI systems research, identifying ideas with practical value, and building POCs that demonstrate feasibility. These POCs are demoed to the team and, where validated, handed off to the Platform and AI Engineers to productionize. This person does not work in isolation – they collaborate closely with the rest of the team throughout the research‑to‑product pipeline.

What You'll Do

• Monitor and synthesize developments in LLM systems, AI infrastructure, and adjacent research areas
• Prototype and evaluate novel ideas with a fast feedback loop – build, demo, iterate
• Extend and improve the existing agent and RAG SDKs with new retrieval strategies, agent patterns, and provider integrations
• Evaluate new embedding models, re‑ranking approaches,...