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Protocol Intelligence
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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement specialized AI pharmacovigilance agents to process and analyze adverse event data, including prompt engineering and agent configuration.
Develop deterministic rule engines and maintain evaluation datasets for quality control and regulatory compliance in clinical research safety.
Build and maintain Model Context Protocol servers and human-in-the-loop feedback mechanisms to integrate AI agents with enterprise systems and improve performance.
Minimum Requirements
3+ years software engineering experience with at least 1 year working on LLM API-based applications (e.g., Anthropic, OpenAI).
Proficient in Python programming with production environment experience.
Experience building and evaluating NLP or LLM-based systems with measurable quality metrics (precision, recall, confusion matrices).
Bachelor's degree in computer science or related field, or equivalent professional experience.
Ideal Candidate Profile
Proven expertise in prompt engineering for LLMs, including system prompts, few-shot examples, and chain-of-thought patterns.
Experience working with LLM orchestration frameworks such as LangChain or LangGraph and familiarity with AWS services (S3, Lambda, IAM).
Domain experience or exposure to medical or clinical NLP, pharmacovigilance, or healthcare IT environments is highly advantageous.