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Lead GenAI Engineer

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: Apollo Professional Solutions, Inc.
Part Time position
Listed on 2026-08-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, Backend Developer
Salary/Wage Range or Industry Benchmark: 165000 - 248000 USD Yearly USD 165000.00 248000.00 YEAR
Job Description & How to Apply Below

Lead GenAI Engineer (Contract)

Agentic AI Architecture, Multi-Agent Orchestration & Content Intelligence

Are you a senior-level AI engineer who enjoys designing systems from the ground up while staying hands-on with development? We are seeking a Lead GenAI Engineer to architect and build a next-generation, stateful Generative AI platform that helps commercial teams create personalized, evidence-based content at scale.

What You'll Do
  • Design and build a stateful, headless GenAI application that supports personalized content creation workflows.
  • Architect systems that coordinate multiple AI agents, enterprise services, and data sources.
  • Implement multi-turn conversational experiences that maintain project context, application state, and user interactions over time.
  • Develop services that generate structured JSON and HTML content blueprints for downstream platforms to assemble into final content assets.
  • Lead the design of scalable API-first architectures, reusable service patterns, and structured data contracts.
  • Build and optimize agent orchestration frameworks, including routing, state management, memory, and workflow coordination.
  • Integrate AI services with enterprise platforms, content repositories, and data systems.
  • Deliver AI-generated outputs including:
    Structured content blueprints Narrative responses Tables and data visualizations Citations and evidence references Reusable content components.
  • Implement observability, evaluation, monitoring, grounding, and reliability controls for production AI systems.
  • Review code, establish engineering best practices, and mentor other developers while remaining actively involved in coding and technical delivery.
Required Qualifications
  • Significant hands-on experience architecting and building production Generative AI applications.
  • Strong software engineering expertise with Python and/or Type Script.
  • Proven experience designing and deploying microservices-based architectures.
  • Deep knowledge of:
    Multi-agent systems Agent orchestration Stateful AI applications Multi-turn conversational experiences Strong API design and structured contract development experience.
  • Experience building headless platforms and services that generate structured outputs for downstream applications.
  • Expertise integrating AI applications with enterprise platforms, content repositories, and data services.
  • Hands-on experience with:
    Retrieval-Augmented Generation (RAG) Grounding techniques Application state and memory management AI evaluations and testing Production observability and monitoring Experience developing streaming AI experiences with:
    Clarification workflows Conversation history Error handling Real-time responses.
  • Experience rendering structured outputs including tables, charts, citations, and reusable results.
  • Demonstrated ability to define architecture, make technical decisions, establish coding standards, review engineering work, and deliver production-quality code.
  • Strong experience with: AWS Amazon Bedrock Agent Core
Preferred Qualifications
  • Experience building AI-driven content generation and content-as-code solutions.
  • Background in personalization engines, marketing technology platforms, or AI-powered content workflows.
  • Familiarity with enterprise content ecosystems such as:
    Workfront Veeva Vault Promo Mats Adobe Experience Manager (AEM) Assets Comparable content management platforms.
  • Experience working in regulated industries with structured content review and approval processes.
  • Knowledge of commercial life sciences, healthcare, financial services, or other highly regulated environments.
Location & Work Arrangement

San Francisco Bay Area candidates preferred, with the ability to work onsite 1-2 days per week. Candidates outside the Bay Area must provide 4-6 hours of daily overlap with Pacific Time business hours.

Why This Opportunity?

This role offers the chance to architect and build a sophisticated enterprise GenAI platform that combines agentic AI, multi-agent orchestration, RAG, content generation, personalization, and cloud-native services. You'll have direct influence over technical strategy while remaining deeply involved in designing and delivering innovative AI solutions that drive real business impact.

Keywords:

Lead GenAI Engineer, Senior AI Engineer, Generative AI Architect, Agentic AI, Multi-Agent Systems, AI Platform Engineer, Python Engineer, Type Script Engineer, AWS Bedrock, Agent Core, RAG Engineer, AI Orchestration, Enterprise AI, Headless Architecture, Microservices, Content Generation, AI Applications, Contract Engineering Opportunity.

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