Stellar CyberHiring

Machine Learning Infrastructure Engineer, LLM and Agentic AI

  • Remote, United States
  • Mid-level
  • Posted 7 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Infrastructure engineering role on a security product team, building the LLM serving stack and agent frameworks that let AI do analyst work; pre-IPO stock included.

About the role

The team works on autonomous security operations, where agents must reason and act inside a detection and response platform. This person supplies the serving, orchestration and API layers those agents depend on, working with researchers and product managers.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, Java, Go, Docker, Kubernetes, gRPC, MCP
Posted
28 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Build agentic AI frameworks that orchestrate LLM agents for reasoning, planning and security tasks
  • Design LLM inference infrastructure that keeps serving cheap and fast across hosting providers
  • Write MCP servers that talk to platform services and plug into LLM agents
  • Add supporting API services that give agent operations a reliable, extensible interface

What they look for

  • Degree in computer science or similar, or equivalent practical experience
  • Two years of software development, or one year with an advanced degree, in industry
  • Two years working with data structures or algorithms, in academia or industry
  • Two years building backend infrastructure, distributed systems, REST or gRPC APIs and microservices for MLOps
  • Experience with Docker, Kubernetes and cloud deployment, plus Python, Java or Go

Benefits

  • Pre-IPO stock options
  • Medical, dental and vision cover
  • Paid time off

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
https://keywordise.com/mcp

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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Machine Learning Infrastructure Engineer, LLM and Agentic AI as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: degree in computer science or similar, or equivalent practical experience; two years of software development, or one year with an advanced degree, in industry; two years working with data structures or algorithms, in academia or industry. Skills it names include Python, Java, Go, Docker.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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