NeoCognition - Member of Technical Staff [Product/Agent]
- On-site
- Palo Alto, California, United States
Job description
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.
Job requirements
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
or
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