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About the Role

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.

Responsibilities

Architect and build a stateful, headless GenAI application for personalized and grounded content creation
Design multi-agent workflows
Integrate enterprise services
Manage application and conversational state
Deliver structured JSON/HTML outputs for downstream content platforms
Define architecture
Establish coding standards
Make technical decisions
Review engineering work
Write production code

Requirements

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
Strong hands-on experience with AWS, Amazon Bedrock, and AgentCore

Skills

Python
TypeScript
Microservices
Stateful, multi-turn and multi-agent orchestration
API-first architecture
Structured contract design
Headless services
RAG
Grounding
Application state
Memory
Evaluations
Production observability
Streaming, multi-turn GenAI applications
Clarification flows
Conversation history
Error handling
Rendering structured outputs (tables, charts, citations, reusable results)
AWS
Amazon Bedrock
AgentCore
Content generation
Content-as-code
Personalization
Marketing technology
Workfront
Veeva Vault PromoMats
AEM Assets

Location

South San Francisco, CA

Work Type

Long-Term Contract

Experience Level

Senior

Benefits

Medical
Paid Sick Leave
401 (k)

About the Company

Our client, a world leader in biotechnology and life sciences