About the Role
As a Member of Technical Staff [Product/Agent] at NeoCognition, you’ll be one of the founding engineers transforming our research into real, user-facing products and developer experiences.
You’ll work across the full stack — from backend APIs and data infrastructure to front-end interfaces and SDKs — to make our large language model (LLM) agent research usable and impactful. This role blends product engineering with systems thinking: you’ll build not only applications but also the developer tools and libraries that make those applications scalable, reliable, and delightful to use.
You’ll also collaborate closely with research scientists, platform engineers, and UX researchers to define, build, and ship the next generation of AI-powered products and developer experiences.
Responsibilities
Design, build, and maintain production-ready applications and developer tools, including web apps, APIs, SDKs, and internal libraries.
Drive the end-to-end product lifecycle — from concept and prototype to launch, iteration, and user feedback.
Translate cutting-edge research outputs into robust, usable product features and developer-facing abstractions.
Contribute to the architecture, design, and scalability of systems as usage grows.
Collaborate across research, design, and infrastructure teams to align product goals with technical feasibility.
Define and uphold engineering excellence — testing, CI/CD, documentation, and deployment best practices.
Build tools and abstractions that make it easier for both internal teams and external developers to leverage our AI systems.
There are three buckets of work. The first is the agent harness itself – building, implementing, and experimenting on the agent system and its memory. That is where the product people sit. It naturally bridges into the second bucket, which is the backend serving layer: hosting the agent, availability, tracking, security, networking, scaling. That is the platform side. The third bucket is the ML and language model research arm – training, data collection, evaluations – which is the research role.
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.