At Poetiq, we are taking the fastest path to superintelligence. We believe Recursive
Self-Improvement is the holy grail, and we’ve found a way to make it practical today.
We are building the intelligence that knows what questions to ask and how to synthesize
the fragmented knowledge hidden inside any LLM. This is a new, fast, and scalable path to
self-improvement.
Founded by ex-Google/DeepMind veterans, we're a small, fast-moving team of top-tier
researchers and engineers. We’re looking to bring on a few insanely passionate scientists
and engineers. If this sounds like your ideal environment, we’d love to hear from you.
Founded by ex-Google/DeepMind veterans, we're a small, fast-moving team of top-tier
researchers and engineers. We’re looking to bring on a few insanely passionate scientists
and engineers.
Role
AI Scientist
As an AI Scientist, you will propose, explore and hands-on build the core algorithms for
our self-improving reasoning engine. You will push the frontier on the data-efficient
methods that allow our system to learn how to reason – how to probe LLMs, extract their
hidden knowledge, and synthesize fragments into reliable, complex answers.
You are a good fit if you:
Have a deep, first-principles understanding of LLM reasoning, failure modes, and
understand their “quirks” through experience.
Are an expert in ML algorithm design, search, or optimization, and know the
limitations of common LLM-training methods.
Excel at designing novel, data-efficient methods for discovering optimal,
task-specific reasoning strategies.
Are passionate about designing the core self-improvement loops that allow a system
to learn from the problems it solves to get better at the next one, autonomously.
Have a strong publication record and thrive bringing crazy ideas to fruition.
Apply at
join@poetiq.ai
Role
AI Engineer
As an AI Engineer, you will build a robust, scalable platform for our intelligence on
top of foundation models. You will architect a complete system that surrounds the LLMs,
managing the complex, multi-step interactions required to extract and synthesize
information. You must be comfortable working in, and building, the high-performance
infrastructure that makes our fast, self-improving reasoning possible.
You are a good fit if you:
Think and breathe Python. You are a Python engineer proficient in building complex,
agentic systems or multi-step, stateful execution frameworks.
Work autonomously to develop both clearly defined and ambiguous ideas, including
your own, into reality.
Excel at designing and building reliable, high-performance infrastructure that
interacts heavily with external, third-party LLMs – some experimental, some
large-scale and publicly deployed.
Can architect clean abstractions for complex workflows, specifically synthesizing
fragmented information gathered over thousands of parallel, asynchronous queries.
Care deeply about code quality, performance profiling, and building the stable,
scalable platform that allows research to run autonomously.
