Recursive Self Improvement is the most important frontier in AI research. We’re hiring a team of the best researchers and engineers dedicated to advancing RSI.
If you’re driven to advance the frontiers of AI through RSI and optimization, come apply to be a
Member of the Technical Staff
at Poetiq. This is a single, adaptable technical role that spans both the algorithmic core of our RSI loop and the high-performance systems that let it run autonomously at scale. Every MTS shares ownership of the same mission: advance the frontier of AI through RSI.
What You'll Do
Your day-to-day depends on your focus, but the shared surface area includes:
Improve the RSI loop
— design and build the core algorithms that drive system-level self-improvement.
Push reasoning strategy
— propose and test novel, task-specific reasoning strategies; probe LLMs to surface latent knowledge; build data-efficient methods for finding optimal strategies per task.
Build dynamic harnesses
— synthesize task-specific execution environments on the fly,
even as the system concurrently rewrites its own codebase.
Architect orchestration
— design clean abstractions for highly parallelized workflows, turning fragmented signal from thousands of parallel, asynchronous LLM interactions into coherent, high-performance reasoning chains.
Probe capability boundaries
— build diagnostic pipelines that separate genuine knowledge gaps from tooling limits (e.g., live retrieval) and reasoning/composition failures.
Close the feedback loop
— route knowledge-gap failures into SFT data pipelines; turn reasoning/composition failures into verifiable, exact-match RL tasks.
Run infrastructure at scale
— build and maintain high-performance infrastructure against external, third-party LLMs (experimental, large-scale, and publicly deployed) so research and optimization loops run reliably without human intervention.
Keep it interpretable
— every loop stays transparent code, explicit prompts, and clear diagnostics,
📌 Member of the Technical Staff (Madrid)
🏢 Poetiq
📍 Madrid