Job description

Job Title: Lead GenAI Engineer (Senior Role) Location: Bay Area, CA (Preferred; 1–2 days onsite per week) Open to Remote Candidates Pay Rate: $42.74–$91.51/hour Duration: open-ended long-term contract 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 required Strong Python or TypeScript software engineering and microservices experience needed Experience designing stateful, multi-turn and multi-agent orchestration required Strong API-first architecture and structured-contract design experience needed Experience building headless services that produce structured outputs for downstream applications required Experience integrating GenAI applications with enterprise platforms, data services and content repositories expected 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 required Preferred Skills 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 Location: Bay Area preferred, with ability to work from the office 1–2 days per week Otherwise, must provide 4–6 hours of daily working overlap with Pacific Time By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy #LI-JC1

Requirements

Must-haves

Job Title: Lead GenAI Engineer (Senior Role)
Pay Rate: $42.74–$91.51/hour
Duration: open-ended long-term contract
Focus: Agentic Content-Application Architecture and Orchestration
Minimum capabilities
Significant hands-on experience architecting and building production GenAI applications required
Strong Python or TypeScript software engineering and microservices experience needed
Experience designing stateful, multi-turn and multi-agent orchestration required
Strong API-first architecture and structured-contract design experience needed
Experience building headless services that produce structured outputs for downstream applications required
Experience integrating GenAI applications with enterprise platforms, data services and content repositories expected
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 required

Nice-to-haves

Location: Bay Area, CA (Preferred; 1–2 days onsite per week) Open to Remote Candidates
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
Location: Bay Area preferred, with ability to work from the office 1–2 days per week
Otherwise, must provide 4–6 hours of daily working overlap with Pacific Time

Application prep

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Keywords to mirror

pythontypescriptapiawsai

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