NebiusHiring

Senior Customer AI Engineer

  • Remote, United States
  • Senior
  • Posted 2 weeks ago
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In one line

Senior role helping customers scale AI workloads from proof-of-concept to production, working remotely in the US.

About the role

Focus on ensuring reliable, efficient deployments by collaborating with customer engineering teams and internal product experts.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
vLLM, TensorRT, Distributed systems, AI/ML workloads
Posted
12 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Lead the transition from PoC to production
  • Monitor and improve performance and cost efficiency
  • Act as a primary technical contact for incidents
  • Provide guidance on best practices and optimisation
  • Drive continuous improvement based on customer needs

What they look for

  • Practical knowledge of inference frameworks
  • Solid understanding of cloud and distributed systems
  • Experience working directly with technical customers
  • Strong sense of ownership and execution
  • Ability to troubleshoot system performance

Nice to have

  • Experience with GPU workloads or AI infrastructure
  • Background in solutions engineering or SRE

Benefits

  • Health insurance fully covered

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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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

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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How to connect

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?

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

What experience is needed?

It is a senior role. The posting asks for: practical knowledge of inference frameworks; solid understanding of cloud and distributed systems; experience working directly with technical customers. Skills it names include vLLM, TensorRT, Distributed systems, AI/ML workloads.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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