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# GenAI Engineer's

- **Company:** ProClinical Recruitment
- **Location:** San Francisco, CA, United States
- **Salary:** $166,400.0 - $249,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Logic, Automation of Tests, JSON, Python (Programming Language), TypeScript, Workflow Management Systems, Multi-Agent Systems, Generative AI, Adobe, Veeva
- **Published:** September 4, 2026
- **Apply:** https://www.proclinical.com/Apply?jid=24148

## About the Role

* Proficiency in Python or TypeScript for backend engineering.
 * Experience with agent orchestration, workflow routing, and multi-agent chaining.
 * Strong API and schema design skills.
 * Familiarity with combining user intent, conversation history, and screen context into actionable requests.
 * Hands-on experience with AWS, Amazon Bedrock, and AgentCore.
 * Ability to deliver production-ready, tested code independently.
 * Preferred: Experience with capability registries, agent catalogs, or discovery services.
 * Preferred: Knowledge of pharmaceutical content, compliance workflows, or regulated content management systems (e.g., Veeva, Adobe).

## Description

You will work on creating orchestration capabilities, reusable skills, and compliance-focused agents that deliver reliable, grounded outputs for broader application use. The position requires a strong technical background, problem-solving skills, and the ability to work independently within an established architecture., * Develop and implement routing, agent chaining, and reusable tools for enterprise GenAI applications.

 * Build application logic to process user intent, screen context, and workflow data into structured requests.
 * Transform agent results into coherent narratives, tables, charts, and consistent response payloads.
 * Design and maintain APIs and schemas, ensuring structured JSON input/output contracts.
 * Integrate agents with APIs, document repositories, content systems, and other agents.
 * Implement validation, citations, provenance tracking, and controls for unsupported outputs.
 * Write automated tests and evaluations to ensure agent accuracy and reliability.
 * Deploy GenAI services using AWS, Amazon Bedrock, and AgentCore.


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