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Forward Deployed Engineer - AI Solutions (Gracenote Division)

Pay not postedRemote, hiring in OregonFull-time

Leads technical pre-sales and implementation for Gracenote’s API and AI products, helping enterprise clients integrate entertainment metadata into LLM-powered discovery experiences.

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At a glance

Posted base pay

Not posted

The work

Builds what the customer runs

Balance Mixed

Project stages

  1. Pre-sales
  2. Proof of concept
  3. Implementation
  4. Operations (not covered)

Travel Up to 40%

Coding
Prototypes and scripts
Builds for
External customers
Role
Individual contributor

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Conditions

Location
Remote, OR
Work arrangement
Remote
Employment type
Full-time
Travel
Up to 40%

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What you’ll do

  • Lead customer discovery, technical consultation, and AI solution proof of concepts.
  • Build focused AI agents that demonstrate Gracenote Video MCP Server capabilities.
  • Recommend integration architectures and validate new MCP tools as Customer Zero.
  • Guide client developers through implementation, including JSON-RPC 2.0 integration.

What you’ll bring

  • Practical experience with MCP tooling, agent deployment, JSON-RPC 2.0, and AWS Cognito.
  • Experience building with Python or TypeScript/Node.js and integrating B2B enterprise APIs.
  • Experience with agent frameworks such as Google ADK, AWS Bedrock Agents, LangChain, or LlamaIndex.
  • Knowledge of OAuth/OIDC, enterprise security, and data privacy requirements.

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