Lead GenAI Engineer

Spectraforce Technologies, Inc.

South San Francisco (CA)

Hybrid

USD 193,000 - 303,000

Part time

10 days ago

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Job summary

Spectraforce Technologies, Inc. is seeking a Lead GenAI Engineer (Senior) for a 4-month contract in South San Francisco, CA, hybrid work.

The role demands hands-on design and coding of a stateful GenAI application coordinating multiple agents and enterprise services, with an emphasis on API-first architecture and production readiness. The candidate will architect the solution, drive key technical decisions, and deliver production code, while ensuring grounding, memory, and observability across

Qualifications

  • 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 and data services.
  • 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.
  • Ability to propose architecture, establish coding patterns, make technical decisions and review other engineers' work.
  • Strong AWS, Amazon Bedrock and AgentCore experience.

Responsibilities

  • Architect and build production GenAI applications.
  • Design stateful, multi-agent orchestration for complex workflows.
  • Code critical components and production-grade services.
  • Review peers’ work and enforce coding standards.
  • Integrate GenAI apps with enterprise data services and content repositories.
  • Develop structured outputs (tables, charts, citations) for downstream systems.
  • Ensure observability, memory management and robust error handling.

Skills

GenAI architecture
Python
TypeScript
Microservices
Stateful orchestration
API-first design
Memory and observability
AWS Bedrock

Tools

AWS
Bedrock
AgentCore

Job description

Title: Lead GenAI Engineer (Senior Role) Duration: 4 months Location: South San Francisco, CA (Hybrid)
Note:
  • 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
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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