deployed_

NeoCognition - Member of Technical Staff [Product/Agent]

deCircle - Palo Alto, California, United States

Still listed by deCircle · checked today · posted 12 Oct 2026 (5 days ago)

OnsiteMidFull-timeEngineeringFullstackUSD 200K - 300K / year

Skills: Python, TypeScript, JavaScript, Llm agents, APIs, Sdks, Ci/cd

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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