Red Cell PartnersHiring

Member of Technical Staff, Platform Engineer

  • Remote, United States
  • Full-time
  • Senior
  • Posted 7 days ago
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In one line

Full stack platform role at an early stage startup, remote in the US, building the systems behind AI training, evaluation and data collection.

About the role

Work centers on reinforcement learning environments and the infrastructure that lets research move into reliable production, with backend depth and some user-facing tooling.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
Backend systems, Platform architecture, Infrastructure, APIs, Data pipelines
Posted
22 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Architect and scale the reinforcement learning environments platform and its infrastructure
  • Build backend services, APIs and pipelines that generate data at scale
  • Create modular environment domains that plug into training and evaluation
  • Turn research prototypes into production systems and full stack tools

What they look for

  • Experienced full stack engineer with strong backend and platform architecture skills
  • Comfortable moving between system design, data models, services and infrastructure
  • Able to bring structure to ambiguous requirements and evolving research needs
  • Cares about reliability, observability, performance and maintainability

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
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ChatGPT

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  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
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Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: experienced full stack engineer with strong backend and platform architecture skills; comfortable moving between system design, data models, services and infrastructure; able to bring structure to ambiguous requirements and evolving research needs. Skills it names include Backend systems, Platform architecture, Infrastructure, APIs.

How do I apply with Keywordise AI?

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