GenAI Engineer (Specialized Content)

Job Type: Contract
Work Flexibility: Hybrid
Location: South San Francisco CA
Required Skills: AWS Bedrock & AgentCore GenAI Agent Development Python/TypeScript Structured Outputs & Validation Testing & Agent Evaluations Tool Calling & RAG/Grounding

Role: GenAI Engineer (Specialized Content)
Location: Sount San Francisco, CA (3 days onsite/week)
Duration: 6+ months
Pay Rate: $70 to $75
 
 
Focus: Specialized Content and Compliance Agents

Overview: The goal is to implement production agents that support insight synthesis, evidence-grounded claims, audience personalization and early content-quality or compliance checks. The contractor will receive defined use cases and architecture patterns and will be expected to code the agent logic, integrations, structured outputs, tests and evaluations. The agents must produce reliable, grounded outputs that can be consumed by the larger application and downstream services.

Must Have: Python/TypeScript, GenAI Agent Development, Tool Calling & RAG/Grounding, Structured Outputs & Validation, Testing & Agent Evaluations, AWS Bedrock & AgentCore

Minimum Capabilities:

  • Strong Python or TypeScript production engineering experience
  • Proven experience coding GenAI agents with tool calling, retrieval, grounding and structured outputs
  • Experience integrating agents with APIs, document repositories, content systems or other agents
  • Experience implementing validation, citations, provenance and controls for unsupported outputs
  • Experience writing automated tests and evaluations for agent behavior, accuracy and failure cases
  • Hands-on experience with AWS, Amazon Bedrock and AgentCore
  • Ability to work independently within an established architecture and deliver deployable code

Preferred:

  • Experience with insight synthesis, evidence-grounded generation, audience personalization or automated content-quality checks
  • Experience with pharmaceutical commercial content, clinical or promotional claims or regulated review workflows
  • Familiarity with Veeva, Adobe platforms or regulated content-management systems

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