24 MagHiring

AI/ML Engineer, Internal Platforms

  • USD 220,000 to 300,000 per year
  • Remote, United States
  • Full-time
  • Senior
  • Posted 5 days ago
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In one line

Remote engineering role building an AI recruiting agent: Python backends, LLM integration, retrieval and agent orchestration, deployed on cloud infrastructure.

About the role

Owns new capabilities for an internal recruiting agent, from prompt and RAG design to production APIs and model evaluation. Good work here means AI features that are accurate, reliable and actually used by recruiters.

At a glance

Pay
USD 220,000 to 300,000 per year
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
Python, Large language models, RAG, LangChain, LangGraph, LlamaIndex, AWS, Google Cloud
Posted
24 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Build and extend AI agent features on top of modern large language models, wiring LLM APIs into internal applications
  • Write Python backend services and APIs, and connect models to the data sources they need
  • Design prompts, retrieval-augmented generation and tool-calling flows, testing frameworks such as LangChain, LangGraph or LlamaIndex
  • Run experiments and evaluations on output quality, then deploy and monitor services on AWS, Google Cloud or Azure

What they look for

  • Hands-on work building applications with large language models and AI APIs
  • Practical knowledge of LLM integration, prompting and agent orchestration
  • Familiarity with cloud deployment and keeping production services reliable

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 yzh64bgbaz
How to connect

Questions about this job

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

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

What does this job pay?

The posting states USD 220,000 to 300,000 per year.

What experience is needed?

It is a senior role. The posting asks for: hands-on work building applications with large language models and AI APIs; practical knowledge of LLM integration, prompting and agent orchestration; familiarity with cloud deployment and keeping production services reliable. Skills it names include Python, Large language models, RAG, LangChain.

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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