GenAI Engineer
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Role details
Tech stack
Job description
Focus: Specialized Content and Compliance Agents 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. Minimum capabilities
Requirements
? 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 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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