Member of Technical Staff, Forward Deployed Engineer
- Remote, United States
- Full-time
- Mid-level
- Posted 7 days ago
or apply from Claude / ChatGPT / Muse
Engineer who sits with enterprise customers, builds AI agents and data pipelines in their environments, and measures how well they work; remote in the US with travel.
About the role
Deployments run in small teams inside customer environments, covering the full technical lifecycle from problem definition to evaluation and iteration. Work is aimed at regulated sectors such as healthcare and government.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Employment
- Full-time
- Skills
- AI agents, Data pipelines, Evaluation systems, Software engineering, Solution design
- Posted
- 22 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Learn customer businesses and workflows first hand and turn operational needs into defined AI solutions
- Own design, build, deployment and improvement of production AI agents for each customer
- Build data pipelines, integrations and supporting systems inside customer environments
- Create evaluation systems that measure agent performance and drive the next round of changes
- Codify reusable engineering practices and agent patterns from deployments for later use
What they look for
- Strong software engineering background with direct customer-facing work
- Ability to move between a business problem and the technical detail needed to solve it
- Comfort entering unfamiliar environments and structuring ambiguous problems
- Ownership of outcomes through implementation, deployment and continued improvement
Nice to have
- Experience in regulated industries such as healthcare or government
- Familiarity with AI agent patterns and evaluation methods
A typical week
- Work embedded with enterprise customer teams, observing how their operations actually run
- Build and iterate on agents, pipelines and integrations in the customer's environment
- Review evaluation results with the customer and adjust against measurable goals
- Share lessons with product, platform, research and engineering teams
- Travel to customer sites when needed
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.
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.
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 jabiued3e4Questions 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?
No pay range is stated in the posting.
What experience is needed?
It is a mid-level role. The posting asks for: strong software engineering background with direct customer-facing work; ability to move between a business problem and the technical detail needed to solve it; comfort entering unfamiliar environments and structuring ambiguous problems. Skills it names include AI agents, Data pipelines, Evaluation systems, Software engineering.
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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