NeoCognition - Member of Technical Staff [Product/Agent]
deCircle · Palo Alto, California, United States
Checked against recruitee. Still accepting applications.
- Location
- Palo Alto, California, United States
- Posted
Source: Paraform - <https://www.paraform.com/share/neocognition/cmpejadd8001g0dl8afjfy9j0>
Compensation: $200,000-$300,000 base + competitive equity.
Location: Palo Alto, CA - in person 5 days/week. Visa: open to transfers (OPT, H1B).
About this role
As a Member of Technical Staff [Product/Agent] at NeoCognition, you'll be one of the founding engineers transforming research into real, user-facing products and developer experiences, working across the full stack (backend APIs, data infrastructure, front-end interfaces, SDKs) to make LLM agent research usable and impactful. You'll collaborate closely with research scientists, platform engineers and UX researchers.
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 internal teams and external developers to leverage the AI systems
Agent harness and memory (product), backend serving layer (platform), ML/LM research (training, data, evals). This role sits in the agent harness/product bucket.
Tech stack
Python, TypeScript/JavaScript
About NeoCognition
AI agent lab for specialized intelligence: developing AI agents that continuously learn to reach expert-level intelligence. Founding team's research is used in frontier models from OpenAI, Anthropic, Google and others. 10 employees, founded 2025, $40M total funding, Palo Alto.
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