A consumer lending companyHiring

AI Experience Engineer (Conversational AI)

  • Remote, Canada
  • Mid-level
  • Posted 2 weeks ago
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or apply from Claude / ChatGPT / Muse

In one line

Own the customer-facing AI agent across chat, voice and email: build journeys in a no-code tool, fix failures and raise containment.

About the role

A builder and analyst mix, sitting between engineering, product and customer operations. The goal is an agent that resolves issues safely and accurately without a human, measured by containment, CSAT, transfer quality and hallucination rate.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, Canada
Seniority
Mid-level
Skills
Sierra Agent Studio, GraphQL, REST APIs, Genesys, SumoLogic, Grafana, SQL, JavaScript
Posted
13 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Design and build agent journeys for chat, voice and email, from discovery through rollout.
  • Review transcripts and analytics weekly, then fix journey logic, instructions and knowledge.
  • Map unhappy paths like failed payments or mismatched identity so each ends in a correct answer or clean handoff.
  • Own containment and CSAT targets per journey and run staged rollouts from 1% to 100%.
  • Build simulation and regression suites so each change ships with evidence it broke nothing.

What they look for

  • Three to five years in frontend software engineering, or similar work in solutions engineering, conversational AI or technical product.
  • Working knowledge of how LLM agents behave, including instructions, tool calls and retrieval, and where each fails.
  • Experience building evaluations for non-deterministic systems, such as test sets, simulations and regression gates.
  • Enough technical depth to read API specs and work with backend engineers on REST and GraphQL.
  • Comfort with SQL, JavaScript or TypeScript and tools like SumoLogic and Grafana.

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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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 um7uas5bjf
How to connect

Questions about this job

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

Yes. The posting lists AI Experience Engineer (Conversational AI) as a remote role for candidates in Canada.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: three to five years in frontend software engineering, or similar work in solutions engineering, conversational AI or technical product; working knowledge of how LLM agents behave, including instructions, tool calls and retrieval, and where each fails; experience building evaluations for non-deterministic systems, such as test sets, simulations and regression gates. Skills it names include Sierra Agent Studio, GraphQL, REST APIs, Genesys.

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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A consumer lending companyRemote, Canada
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