Lead GenAI engineer: Agentic Content-Application Architecture and Orchestration
Why This Role Stands Out
This hybrid role offers an exciting opportunity to architect and build cutting-edge GenAI applications, pushing the boundaries of content creation for marketers. You'll thrive here if you're a seasoned engineer with a passion for stateful, multi-agent orchestration and a proven track record in production GenAI development, ready to make a significant impact. Apply now to shape the future of intelligent content generation.
Quick Overview
Job Description
Hi
Mindsource is seeking a Data Engineer for one of our Direct Clients based in Silicon Valley . If interested, please drop your resume to
Title: Lead GenAI Engineer (Senior Role)
Bay Area preferred, with ability to work from the office 1–2 days per week
Contract to Hire
Focus: 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.
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
and review other engineers'' work, and produce production code
Strong AWS, Amazon Bedrock and AgentCore experience
Preferred
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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