AI Engineer, Agent/Platform Tracks

🕒 Julho 27

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Parexel

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1983

💼 Consultoria

🏥 Saúde

📦 Logística

💰 Venture Round em 1990-01

Consulting • Healthcare • Logistics

Parexel é uma das maiores organizações de pesquisa clínica (CROs) do mundo, oferecendo serviços abrangentes para o processo de desenvolvimento clínico das Fases I a IV. A empresa é especializada em gestão de portfólio, gestão de ensaios clínicos, estratégia regulatória, acesso ao mercado e gestão do ciclo de vida para biofarmacêuticos. A Parexel busca acelerar a chegada de medicamentos que transformam vidas ao mercado, alavancando sua expertise clínica, regulatória e terapêutica. Com uma equipe global de mais de 21. 000 profissionais, a Parexel trabalha para integrar insights de pacientes e desenhos de estudo inovadores a fim de desenvolver tratamentos em áreas terapêuticas como oncologia, neurociência, doenças raras, entre outras. Seu foco está na condução de ensaios clínicos eficientes e centrados no paciente.

Descrição

• 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 prompt chains for each processing step: source document parsing, field extraction, MedDRA coding suggestions, causality assessment logic, narrative drafting, and E2B(R3) output generation • Develop the deterministic rule engine 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 • Develop and maintain Model Context Protocol (MCP) servers to expose enterprise applications, APIs, databases, and services as standardized tools for AI agents • Implement secure MCP integrations, tool definitions, authentication, and testing to enable reliable agent interaction with internal and external systems • Run accuracy benchmarks, analyze failure modes, and iterate on prompts and agent configurations to improve performance against defined thresholds • Implement the quality control agent's cross-verification logic: configure separate Claude instances, build comparison algorithms, and calibrate confidence scoring • Build human-in-the-loop feedback mechanisms: reviewer interfaces for accept/modify/reject decisions, structured feedback capture, and feedback-to-prompt-improvement pipelines

🎯 Requisitos

• 3+ years of software engineering experience, with at least 1 year building applications that use LLM APIs (Anthropic, OpenAI, or equivalent) • Proficiency in Python with demonstrated experience in production environments • Experience building and evaluating NLP or LLM-based systems with measurable quality metrics • Strong problem-solving skills and ability to work independently while collaborating with team members • Bachelor's degree in computer science, or a related field, or equivalent professional experience • Strong prompt engineering skills and experience writing and iterating system prompts, few-shot examples, chain-of-thought patterns, and structured output formats • Solid foundation in Python with hands-on experience in LLM orchestration frameworks such as LangChain, LangGraph, or similar tools • Experience building evaluation pipelines for NLP or LLM outputs: precision/recall measurement, confusion matrices, and threshold tuning • Comfort with AWS services including S3, Lambda, and IAM basics, with AWS Bedrock experience being a plus • Excellent written communication skills: ability to document prompt design decisions, evaluation results, and agent behavior specifications for validation purposes • A collaborative mindset and ability to work effectively with cross-functional teams including domain experts and platform engineers

🏖️ Benefícios

• Flexibility, growth, and creating space for people to do their best work