Back
Mid-level LLM role with 3+ years requirement and Tier-2 brand attracts moderate candidate density.
Strong pharmacovigilance and clinical NLP requirements make industry-specific background highly important.
Explicit 3+ years, mandatory LLM/API experience and Python proficiency impose moderate shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, implement, and iterate specialized pharmacovigilance AI agents focused on adverse event processing including prompt engineering, model configuration, and processing pipelines.
Develop deterministic rule engines with regulatory and medical logic validations alongside LLM outputs, and maintain evaluation datasets with pharmacovigilance experts.
Build and operate system integrations, secure MCP servers, quality control agents, and human-in-the-loop feedback mechanisms to ensure accuracy and compliance.
3+ years software engineering experience with at least 1 year using LLM APIs (Anthropic, OpenAI, or equivalent).
Proficiency in Python with production experience.
Experience building and evaluating NLP or LLM-based systems with measurable quality metrics.
Bachelor's degree in computer science or related field, or equivalent professional experience.
Demonstrated expertise in prompt engineering, including writing system prompts, few-shot examples, and chain-of-thought workflows.
Experience working with LLM orchestration frameworks (e.g., LangChain) and building NLP evaluation pipelines.
Familiarity or experience in healthcare-related NLP, medical coding, or pharmacovigilance domains preferred but not mandatory.