A fintech platform for professional servicesHiring

Staff Software Engineer, AI

  • USD 150,000 to 190,000 per year
  • Remote, United States
  • Senior
  • Posted 7 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Staff-level engineering role on a small AI team, building and shipping AI features inside an existing product suite for professional firms.

About the role

AI feature work sits at the centre: taking ideas from prototype through to general availability, and making sure the data and infrastructure behind them hold up.

At a glance

Pay
USD 150,000 to 190,000 per year
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, AWS, LLM frameworks, DevOps, SaaS
Posted
23 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Turn business problems from product managers into AI-driven solutions.
  • Design and integrate AI features into the existing product suite.
  • Write Python to handle data, call large language models and measure results.
  • Build tooling and infrastructure for secure, scalable AI deployment.
  • Work with cloud operations to ship features and watch how they perform.

What they look for

  • Ten or more years of professional software engineering, ideally backend or full stack SaaS.
  • A record of shipping production AI or ML services at scale.
  • Hands-on work with LLM frameworks, platforms and evaluation tooling.
  • Strong Python and comfort with data manipulation and evaluation workflows.
  • Experience in AWS and with modern DevOps practice.

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.

Apply with Keywordise AI7-day free trial, no card.

Apply from your AI assistant

Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

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 nra4tdzc75
How to connect

Questions about this job

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

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting states USD 150,000 to 190,000 per year.

What experience is needed?

It is a senior role. The posting asks for: ten or more years of professional software engineering, ideally backend or full stack SaaS; a record of shipping production AI or ML services at scale; hands-on work with LLM frameworks, platforms and evaluation tooling. Skills it names include Python, AWS, LLM frameworks, DevOps.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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A fintech platform for professional servicesRemote, United States
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