This is a remote position.

Seeking a Senior
Lead GenAI Engineer
to architect and build a stateful, headless GenAI application for personalized and grounded content creation. The role will design multi-agent workflows, integrate enterprise services, manage application and conversational state, and deliver structured JSON/HTML outputs for downstream content platforms.

This is a
hands-on engineering role
requiring architecture ownership, technical decision-making, and production coding.

Required Skills & Qualifications

• 
  Significant hands-on experience architecting and building
  production GenAI applications
  .
• 
  Strong
  Python or TypeScript
  development and microservices experience.
• 
  Experience with
  stateful, multi-turn and multi-agent orchestration
  .
• 
  Strong API-first architecture and structured contract design experience.
• 
  Experience building headless services that generate structured outputs for downstream applications.
• 
  Experience integrating GenAI applications with enterprise platforms, data services, and content repositories.
• 
  Strong experience with
  RAG, grounding, application state, memory, evaluations, and production observability
  .
• 
  Experience building streaming, multi-turn GenAI applications with clarification flows, conversation history, and error handling.
• 
  Experience rendering structured outputs such as
  tables, charts, citations, and reusable results
  .
• 
  Ability to define architecture, establish coding standards, make technical decisions, review engineering work, and write production code.
• 
  Strong hands-on experience with
  AWS, Amazon Bedrock, and AgentCore
  .

Preferred Skills

• 
  Content generation, content-as-code, personalization, or marketing technology experience.
• 
  Experience with
  Workfront, Veeva Vault PromoMats, AEM Assets
  , or similar enterprise content platforms.
• 
  Experience in
  commercial pharma or other regulated content environments
  .