Senior Platform Engineer - AI
- Remote, worldwide
- Full-time
- Senior
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Platform engineering role building internal AI tooling, model gateways and RAG pipelines on Google Cloud for product teams.
About the role
The platform group is rebuilding its foundations so product engineers can use AI services without deep infrastructure knowledge. Work spans agent frameworks, LLM monitoring and CI/CD for machine learning.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Employment
- Full-time
- Skills
- Python, Java, GCP, GKE, Terraform, RAG, CI/CD, LLMs
- Visa
- No sponsorship
- Posted
- 27 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Build a self-service internal developer platform that wraps GCP AI services into APIs, SDKs and Terraform modules
- Design a model gateway handling routing, rate limits, failover and shared telemetry
- Create and tune RAG pipelines grounded in internal policies and technical docs
- Deploy microservices on GKE with Cloud SQL and Cloud Build
What they look for
- Bachelor's in computer science or equivalent practical experience
- 8 years setting up SDLC, CI/CD, automation and enterprise applications, including lead work
- 5 years as a senior platform engineer with recent enterprise AI infrastructure work
- 5 years of hands-on public cloud and infrastructure as code experience
- Python, Java and GCP tools such as GKE, Cloud Run and Cloud Functions
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
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Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
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.
Apply to Keywordise job snfz3qytoiQuestions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, and the posting does not tie it to one country.
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: bachelor's in computer science or equivalent practical experience; 8 years setting up SDLC, CI/CD, automation and enterprise applications, including lead work; 5 years as a senior platform engineer with recent enterprise AI infrastructure work. Skills it names include Python, Java, GCP, GKE.
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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