Lead GenAI engineer: Agentic Content-Application Architecture and Orchestration

Hybrid in San Jose, CA, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
Contract Corp To Corp
6 Months
Hybrid
$110 - $135/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • LEAD GENAI ENGINEER
  • SENIOR GENAI ENGINEER
  • STAFF AI ENGINEER
  • PRINCIPAL AI ENGINEER
  • LEAD AI ENGINEER
  • GENAI ARCHITECT
  • AI SOLUTIONS ARCHITECT
  • LLM ENGINEER
  • PYTHON
  • TYPESCRIPT
  • GENAI
  • LLM
  • LARGE LANGUAGE MODEL
  • GENERATIVE AI
  • AGENTIC
  • AI AGENT
  • MULTI-AGENT
  • ORCHESTRATION
  • BEDROCK
  • AGENTCORE
  • RAG
  • GROUNDING
  • MEMORY
  • APPLICATION STATE
  • MICROSERVICES
  • API-FIRST
  • REST
  • AWS
  • AMAZON BEDROCK
  • STREAMING
  • MULTI-TURN
  • CONVERSATION HISTORY

Summary

Hi
   
Mindsource is seeking a Data Engineer for one of our Direct Clients based in Silicon Valley . If interested, please drop your resume to   
 
Title: Lead GenAI Engineer (Senior Role)
Bay Area preferred, with ability to work from the office 1–2 days per week
Contract to Hire 

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

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: minds
  • Position Id: 26-00251
  • Posted 7 hours ago
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