Lead GenAI Engineer

Sharp Decisions; South San Francisco (CA); Hybrid; USD 105,000 - 150,000; Full time

Job summary

Sharp Decisions in South San Francisco is seeking a hands-on senior contractor to design and build a stateful, headless GenAI application for commercial marketers. You will architect the system, lead critical coding, and deliver production‑grade components that coordinate agents and enterprise services.

The role requires ownership of technical decisions, code reviews, and implementing robust memory, grounding, and observability with AWS Bedrock and related technologies.

Qualifications

• 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, review other engineers’ work, and produce production code.
• Strong AWS, Amazon Bedrock, and AgentCore experience.

Skills

GenAI architecture

Python/TypeScript

Stateful multi-turn orchestration

API-first design

Structured outputs rendering

Production-grade coding

AWS Bedrock/AgentCore

Tools

AWS Bedrock

AgentCore

Job description

Location: South San Francisco Ca – Hybrid
Duration: 06 months contract with possible extension
Payrate: $92.80/hour on W2

SUMMARY

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 role. The candidate must propose the architecture, make key technical decisions, and code critical components-not serve in a coordination‑only leadership capacity.

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, review other engineers’ work, and produce production code.
• Strong AWS, Amazon Bedrock, and AgentCore experience.

Preferred Qualifications

• 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.