Remote AI Enablement Engineer for Partners

Hivemind Capital Partners LLC

Northern (KY)

Hybrid

USD 140,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

Paid Time Off
Health plans
Wellness resources
Parental leave
401(k) plan

Job summary

Napster Corp. is seeking a hands-on Forward Deployed Engineer to empower sellers and partners with AI-enabled demos, toolchains, and interactive onboarding.

You will build reusable experiences, integration templates, and agent-led enablement assets to accelerate prototyping and production deployments across global teams. You will work with external AI tools and Napster’s platform, shaping evaluation environments and scalable templates while maintaining safety, data handling, and maintainability

Qualifications

  • 10+ years of hands-on software engineering experience.
  • Experience building with AI and AI-enabled workflows.
  • Proven ability to explain decisions around models, tools and memory.
  • Strong ability to run hands-on sessions with partners.

Responsibilities

  • Build reusable demos and use cases for Napster’s voice, video, and embodied AI capabilities.
  • Create evaluation environments and guided build experiences for sellers and partners.
  • Engineer agent-led enablement tools and interactive onboarding assets.
  • Develop and deliver practical AI-building programs and workshops.
  • Build reusable technical components, integrations, and MCP server templates.
  • Enable Napster Innovation Hub experiences and partner events.

Skills

Software engineering
AI development
AI-native workflow
Partner collaboration

Tools

Claude Code
Cursor
Lovable
Codex

Job description

Napster Corp. is seeking a hands-on Forward Deployed Engineer to empower sellers and partners with AI-enabled demos, toolchains, and interactive onboarding.

You will build reusable experiences, integration templates, and agent-led enablement assets to accelerate prototyping and production deployments across global teams. You will work with external AI tools and Napster’s platform, shaping evaluation environments and scalable templates while maintaining safety, data handling, and maintainability

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