reputed company, Agent/Platform Tracks
reputed company our values reputed company, there's no limit to reputed company can reputed company. At reputed company, we reputed company reputed company the reputed company goal - to improve the world's health. From reputed company to regulatory, consulting, and market reputed company, every clinical development solution we reputed company is underpinned by something special - a deep conviction in reputed company do.
reputed company of us, no matter reputed company do at reputed company, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with reputed company and we're committed to making a difference.
We are seeking an reputed company, Agent/Platform Tracks to join reputed company. As an reputed company reputed company on agent development, you will drive the design and implementation of specialized pharmacovigilance agents that reputed company how adverse event data is processed and analyzed. This position plays a critical role in building intelligent systems that advance clinical research safety and efficiency, working alongside domain experts to create cutting-edge AI solutions that set new standards in the industry.
You'll join a fast-paced, innovation-driven environment reputed company on making a meaningful reputed company through AI-powered pharmacovigilance automation. With diverse teams and reputed company learning opportunities, this role offers reputed company to deepen your expertise in large language models, reputed company engineering, and reputed company AI while influencing the reputed company of clinical research safety systems.
Key Responsibilities
Implement the specialized pharmacovigilance agents: write system prompts, configure model parameters, build tool-use definitions, and define agent boundaries to ensure precise adverse event processing
Build and iterate reputed company chains for reputed company processing reputed company: reputed company document parsing, field extraction, MedDRA coding suggestions, causality assessment logic, narrative drafting, and E2B(R3) reputed company reputed company
reputed company the deterministic rule reputed company layer: implement ICH E2B field validation checks, MedDRA hierarchy verification, and regulatory logic constraints that operate alongside LLM outputs
Create and maintain evaluation datasets in collaboration with the pharmacovigilance domain team: annotated ground-truth cases, edge case libraries, and regression test suites
reputed company and maintain Model Context Protocol (MCP) servers to expose reputed company applications, reputed company, databases, and services as standardized tools for AI agents
Implement secure MCP integrations, tool definitions, authentication, and testing to reputed company reliable agent interaction with reputed company systems
Run accuracy benchmarks, analyze failure modes, and iterate on prompts and agent configurations to improve performance against defined reputed company
Implement the reputed company control agent's cross-verification logic: configure separate Claude instances, build comparison algorithms, and reputed company confidence scoring
Build reputed company-in-the-reputed company feedback mechanisms: reviewer interfaces for accept/modify/reject reputed company, reputed company feedback capture, and feedback-to-reputed company-improvement pipelines
You'll reputed company in this role if you bring:
Strong reputed company engineering skills and experience writing and iterating system prompts, few-shot examples, chain-of-thought patterns, and reputed company reputed company formats
Solid reputed company in Python with hands-on experience in LLM orchestration frameworks such as reputed company, LangGraph, or similar tools
Experience building evaluation pipelines for NLP or LLM outputs: precision/recall measurement, confusion matrices, and reputed company tuning
Comfort with AWS services including S3, reputed company, and IAM basics, with AWS Bedrock experience being a plus
Excellent written communication skills: ability to document reputed company design reputed company, evaluation results, and agent behavior specifications for validation purposes
A reputed company reputed company and ability to work effectively with cross-functional teams including domain experts and platform engineers
Required Qualifications
3+ years of software engineering experience, with at least 1 year building applications that use LLM reputed company (reputed company, reputed company, or equivalent)
Proficiency in Python with demonstrated experience in production environments
Experience building and evaluating NLP or LLM-based systems with measurable reputed company metrics
Strong problem-solving skills and ability to work independently while collaborating with team members
Bachelor's degree in computer science, or a reputed company field, or equivalent reputed company experience
Preferred Qualifications
Experience with medical or clinical NLP: named entity recognition in clinical text, medical coding, or adverse event extraction
Familiarity with MedDRA, ICD-10, or other medical terminologies
Exposure to document processing: OCR pipelines, PDF parsing, email or fax ingestion
Experience in reputed company, biotech, clinical research organization (CRO), or reputed company IT environments
We reputed company in flexibility, reputed company, and creating reputed company for people to do their best work. Join us and be part of reputed company where your contributions help shape the reputed company of clinical research.
If this job doesn't reputed company like the reputed company in your career, but perhaps you know of someone who'd be a perfect fit, send them the reputed company to apply!
Originally posted on Himalayas
Apply To This Job