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Lead GenAI Engineer

Sharp DecisionsSouth San Francisco, CA🇺🇸United States

Why this role stands out

Advance your career by architecting and building a cutting-edge GenAI application for commercial marketers, offering a competitive hourly rate and hybrid flexibility. You'll thrive in this hands-on role if you have proven experience in production GenAI applications, microservices, and stateful agent orchestration, making key technical decisions and coding critical components. Apply now to shape the future of content creation with a leading technology company.

Quick overview

Salary$93/hr
SeniorityMid Senior
Work modeHybrid
LocationSouth San Francisco, CA, United States
MicroservicesAWSHTMLPythonTypeScriptVault

Job description

Location: South San Francisco Ca - Hybrid
Duration: 06 months contract with possible extension
Payrate: $92.80/hour on W2
SUMMARY
The goal is to design and build a stateful, headless GenAI application that helps commercial marketers create grounded and personalized content. The application will coordinate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints that downstream platforms can assemble into finished assets.
This is a hands-on senior contractor role. The candidate must propose the architecture, make key technical decisions, and code critical components-not serve in a coordination-only leadership capacity.
Minimum Capabilities
  • Significant hands-on experience architecting and building production GenAI applications.
  • Strong Python or TypeScript software engineering and microservices experience.
  • Experience designing stateful, multi-turn, and multi-agent orchestration.
  • Strong API-first architecture and structured-contract design experience.
  • Experience building headless services that produce structured outputs for downstream applications.
  • Experience integrating GenAI applications with enterprise platforms, data services, and content repositories.
  • Experience with RAG, grounding, application state, memory, evaluations, and production observability.
  • Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history, and error handling.
  • Experience rendering structured responses, including tables, charts, citations, and reusable results.
  • Ability to propose architecture, establish coding patterns, make technical decisions, review other engineers' work, and produce production code.
  • Strong AWS, Amazon Bedrock, and AgentCore experience.
Preferred Qualifications
  • Experience with content generation, content-as-code, personalization, or marketing technology platforms.
  • Experience with Workfront, Veeva Vault PromoMats, AEM Assets, or comparable enterprise content systems.
  • Experience in commercial pharma or another regulated content environment.

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