Senior Lead Generative AI Engineer

BlackCube Labs; South San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

BlackCube Labs in South San Francisco, CA, seeks a Lead GenAI Engineer (Senior Contractor) to design a stateful, headless GenAI application that coordinates multiple agents and enterprise services.

You will propose the architecture, make key technical decisions, and write production code; the role requires hands-on expertise and the ability to deliver structured outputs and observability.

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.
• API-first architecture and structured-contract design experience.
• Experience building headless services that produce structured outputs for downstream apps.
• Experience integrating GenAI apps with enterprise platforms, data services and content repositories.
• Experience with RAG, grounding, memory, evaluations and production observability.
• Experience building streaming, multi-turn GenAI interfaces with clarification flows and history.
• Experience rendering structured outputs (tables, charts, citations) and reusable results.
• Ability to propose architecture, establish coding patterns, review other engineers' work, and produce production code.
• Strong AWS, Bedrock and AgentCore experience.

Skills

GenAI architectures

Python/TypeScript

Multi-agent orchestration

API-first design

Structured outputs

Enterprise integration

RAG & grounding

Streaming interfaces

Production code

AWS Bedrock

AgentCore

Job description

Lead GenAI Engineer (Senior Role)

South San Francisco, CA

06 Months

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

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

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