Lead GenAI Engineer

sgs-job-5984

Information Technology
 California
Generative AI (GenAI)
Python or TypeScript
Microservices
Agentic Content-Application Architecture
Multi-Agent Orchestration
Stateful GenAI Applications
API-First Architecture
Structured JSON/HTML Outputs
RAG
Grounding
Application State and Memory
Evaluations
Production Observability
AWS
Amazon Bedrock
AgentCore
Enterprise API Integration
Streaming GenAI Interfaces.

Contract - 04 Months Contract + (Highest possibilities of Extension

Lead GenAI Engineer (Senior Role) focused on Agentic Content-Application Architecture and Orchestration. 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 who must propose the architecture, make key technical decisions and code critical components—not a coordination-only lead.

Job Responsibilities:

  • Design and build a stateful, headless GenAI application for commercial marketers to create grounded and personalized content.
  • Coordinate multiple agents and enterprise services.
  • Maintain conversational and project state.
  • Generate structured JSON or HTML content blueprints for downstream platforms to assemble into finished assets.
  • Propose architecture, establish coding patterns, and make key technical decisions.
  • Code critical components and produce production-ready code.
  • Review other engineers’ work.
  • Design and implement stateful, multi-turn and multi-agent orchestration.
  • Build API-first applications with structured contracts.
  • Integrate GenAI applications with enterprise platforms, data services and content repositories.
  • Implement RAG, grounding, application state, memory, evaluations and production observability.
  • Build streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling.
  • Support rendering of structured responses, including tables, charts, citations and reusable results.

Skills:

  • 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 and review other engineers’ work, and produce production code.
  • Strong AWS, Amazon Bedrock and AgentCore experience.
  • 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.

Education/Experience:

  • Senior-level, hands-on experience architecting and building production GenAI applications.
  • Strong software engineering skills in Python or TypeScript and experience with microservices.
  • Strong experience in agentic architecture, stateful orchestration, API-first design and structured output generation.
  • Strong AWS, Amazon Bedrock and AgentCore experience.
  • Ability to work in a hybrid arrangement in South San Francisco, CA, with Bay Area preference and availability to work from the office 1–2 days per week.
  • Alternatively, ability to provide 4–6 hours of daily working overlap with Pacific Time.

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