TensorOpsHiring

Mid AI Engineer

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

In one line

Mid-level ML engineer at a fully remote consultancy, building LLM and RAG systems for enterprise clients and mentoring junior engineers.

About the role

Fully remote with no mandatory office days. The role sits between client engineering teams and internal ML staff, taking prototypes through to deployed, monitored systems.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Mid-level
Skills
Python, PyTorch, TensorFlow, Scikit-learn, LangChain, RAG, AWS, GCP
Posted
28 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Build and ship ML and LLM systems for clients, including RAG pipelines, agent workflows, fine-tuning and embeddings
  • Take delivery from architecture and prototyping through deployment, monitoring and iteration
  • Turn client business needs into scoped technical solutions with their product and engineering teams
  • Review code and give technical guidance to other ML engineers
  • Help set internal tooling and standards, and represent the firm in client workshops

What they look for

  • At least 2 years in ML or AI engineering for mid-level, 5 or more for senior
  • Strong Python with clean, documented production code
  • Hands-on model design, training, tuning and deployment with PyTorch, TensorFlow or Scikit-learn
  • GenAI and LLM work: RAG pipelines, chatbot architectures, LangChain
  • MLOps habits such as model versioning, monitoring and CI/CD for ML
  • Deploying and scaling ML on AWS, GCP or Azure, plus solid debugging and performance tuning

Nice to have

  • Experience working with clients or stakeholders

Benefits

  • Fully paid AWS and GCP professional certifications
  • Urban Sports Club membership
  • Monthly ride credits
  • Team events and offsites

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

Disconnect any time in your Keywordise settings.

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
Apply to Keywordise job sago5v5pz6
How to connect

Questions about this job

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

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 mid-level role. The posting asks for: at least 2 years in ML or AI engineering for mid-level, 5 or more for senior; strong Python with clean, documented production code; hands-on model design, training, tuning and deployment with PyTorch, TensorFlow or Scikit-learn. Skills it names include Python, PyTorch, TensorFlow, Scikit-learn.

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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