As a Member of Technical Staff [Research] at NeoCognition, you'll be part of the core team advancing the frontier of LLM agents — systems that can reason, plan, and act reliably in the real world. We are an AI research lab focused on making LLM agents reliable, grounded, and accessible to users, developers and enterprises. You'll lead end-to-end research projects — from conceptualization and experimentation to building and testing product prototypes — working closely with our engineers and designers to turn cutting-edge ideas into practical, impactful systems.
Responsibilities
Lead research initiatives in the areas of LLM reasoning, post-training, and agentic system design.
Develop new methods to improve capability, reliability, and safety of autonomous LLM agents in real-world environments.
Collaborate with software and platform engineers to prototype and productionize research outcomes into sticky product experiences.
Design and execute experiments, benchmark performance, and analyze model behaviors to identify failure modes and opportunities.
Stay abreast of emerging work in reasoning, multi-agent systems, RLHF, tool use, and LLM fine-tuning — and contribute to publications or open-source efforts where appropriate.
Help shape the research culture and technical roadmap of the company as an early member of the team.
NeoCognition is the AI agent lab for specialized intelligence. The company’s mission is to expand access to expertise by developing AI agents that continuously learn to reach expert-level intelligence. The future will not be one super agent. It will be an abundance of specialized agents.
This puts frontier-grade capabilities in more hands and raises the baseline for what any person or organization can do. Research by NeoCognition's founding team has helped shape the modern agent ecosystem and is used in frontier models from OpenAI, Anthropic, Google, and others.