NeoSigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems. The role involves developing AI systems that learn and improve from real-world feedback, working on LLMs and production AI infrastructure.
Responsibilities:
- Design and implement LLM-powered systems and scalable agentic workflows in production
- Work on open-ended problems in self-improving AI: agentic systems, auto-evals, verifier research, and benchmarks
- Build robust data processing pipelines for evaluation datasets and feedback loops
- Run experiments, iterate fast, and push ideas from hypothesis to working system
- Work closely with customers and the core team to deeply understand workflows and deliver meaningful impact
- Publish findings through technical blogs, research papers, or open artifacts that strengthen our technical foundation