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deCircle

NeoCognition - Member of Technical Staff [Product/Agent]

Job Description

NeoCognition

•Member of Technical Staff [Product/Agent] deCircle Palo Alto, CA Job Details $200,000

•$300,000 a year 21 hours ago Qualifications Continuous Delivery (CD) implementation Engineering development testing Tooling Technical documentation Mid-level Scalable systems System design for system development Collaboration with product development teams Web application design projects JavaScript Overseeing product design launches SDKs Scalability Developing and maintaining backend systems Engineering product development Web applications Front-end component implementation Back-end integration DevOps automation Continuous improvement for developers TypeScript Developer tools Prototypes AI applications

Python Full 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. 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

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