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AI Solutions Engineer

Talkdesk

$137,000 - $172,000
Nov 19, 2025
Remote, US
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Talkdesk is looking for an AI Solutions Engineer to design, build, and support next-generation customer experience automations powered by their Agentic AI platform, making the platform tangible through live demos, proof-of-concepts (POCs), and customer trials.

Requirements

  • Proficient in prompt engineering, REST APIs, and API tooling (Postman, cURL, etc.).
  • Solid understanding of AI agent architecture and ability to diagnose multi-agent orchestration issues.
  • Proven ability to build and troubleshoot AI agents
  • Strong prompt engineering skills, with experience designing structured prompt templates and multi-turn agent flows.
  • Hands-on proficiency with REST APIs, webhooks, and API testing tools (ex. Postman, cURL).
  • Experience integrating data sources (knowledge bases, document sets, simple web crawlers) into AI or automation workflows.
  • Working knowledge of JavaScript sufficient to build demo scripts, connectors, or lightweight automations.

Responsibilities

  • Build, configure, and troubleshoot AI agents for SE-led trials and customer demos.
  • Collaborate with Product and Engineering when platform or orchestration issues arise, ensuring quick resolution and feedback loops.
  • Support integrations with knowledge bases, APIs, and simple web crawlers; maintain reliable demo and POC environments.
  • Contribute to prompt libraries and agent orchestration frameworks, creating reusable patterns for multi-agent trials.
  • Ensure smooth demo execution across languages, regions, and customer environments, minimizing rebuild time and technical blockers.
  • Document configurations and share best practices across SE and GTM teams to improve consistency and speed of deployment.

Other

  • Experienced Senior Sales Engineer or Solutions Architect with strong technical depth and an entrepreneurial, hands-on mindset.
  • Organized and collaborative; thrives in fast-paced environments where urgency and customer impact drive priorities.
  • Strong communication and presentation skills; able to explain complex AI systems to both technical and non-technical audiences.
  • Builder mindset — eager to prototype, test, and iterate rapidly.
  • Customer-first attitude — understands the sales cycle and value demonstration pressure.