GenAI Engineer

Proclinical Group; San Francisco (CA); On-site; USD 110,000 - 165,000; Part time

Job summary

Proclinical is seeking a GenAI Engineer on a contract basis in the Bay Area to develop enterprise-grade generative AI applications and specialized agents. You will work on orchestration capabilities, reusable tools, and compliance-focused agents delivering grounded outputs for wide application use.

The role requires strong backend skills in Python or TypeScript, experience with AWS Bedrock and AgentCore, and the ability to ship production-ready code independently within an established

Qualifications

• Proficiency in Python or TypeScript for backend engineering.
• Experience with agent orchestration, workflow routing, and multi-agent chaining.
• Strong API and schema design skills.
• Knowledge of integrating user intent, history, and screen context.
• Hands-on with AWS, Bedrock, and AgentCore.
• Ability to deliver production-ready, tested code independently.
• Preferred: capability registries, agent catalogs, or discovery services.
• Preferred: pharmaceutical content/compliance workflows or regulated systems.

Responsibilities

• Develop routing, agent chaining, and reusable tools for enterprise GenAI apps.
• Build logic to process user intent, screen context, and workflow data into structured requests.
• Transform agent results into narratives, tables, charts, and consistent payloads.
• Design and maintain APIs and schemas with JSON 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, Bedrock, and AgentCore.

Skills

Python

TypeScript

Agent orchestration

API design

Schema design

User intent context

AWS Bedrock

AgentCore

Production-ready code

Capability registries

Discovery services

Pharma compliance

Job description

GenAI Engineer - Contract - Bay Area

Ready to shape the next generation of AI by developing powerful generative solutions that transform how organisations work?

Proclinical is seeking a GenAI Engineer to contribute to the development of advanced AI-driven solutions. This role focuses on building and deploying enterprise-level generative AI applications and specialized agents.

Primary Responsibilities

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.

Skills & Requirements

• 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).

The GenAI Engineer's responsibilities will be

• 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.

Compensation

• $80 to $120 per hour.

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