NeoCognition - Member of Technical Staff [Product/Agent]

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.

• 2-7 years as a product engineer building a breadth of AI applications and agents
• Full-stack range: backend APIs, data infrastructure, front-end interfaces, SDKs
• Python and TypeScript/JavaScript
• In-person 5 days/week in Palo Alto