Artificial Intelligence Engineer, AI

Hospitalcare Products Co.

Lead technical life cycle of generative AI full stack solutions at Hospital Care. Focus on implementing governance, security, and privacy in AI design processes.

Posted 7/22/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack development with a focus on generative AI solutions, utilizing Python, React, and Node.js. Proficient in implementing governance and security controls for AI, alongside architecting and operating RAG, LLMOps, and MLOps pipelines on Azure.

Highest-signal resume keywords

Python ProficiencyFull-Stack Development (React/Node.js/TypeScript)RAG, LLMOps, MLOps ExpertiseMicrosoft Azure AI CertificationAI Governance and Security Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonReactNode.jsTypeScriptSpec-Driven DevelopmentHarness EngineeringRAGLLMOpsMLOpsAutomated Quality Gates

Soft Skills

Technical LeadershipCollaborationCommunication

Tools & Technologies

Azure AI FoundryAutomated Validation ToolsQuality Assurance Harness

Certifications & Qualifications

Microsoft Azure AIAzure EngineerAzure Solutions ArchitectISO/IEC 42001ISO/IEC 27001

Industry Keywords

Generative AIModel Risk ManagementData Leakage PreventionLGPD ComplianceEnd-to-End Traceability

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Provide technical leadership for the full lifecycle of generative AI full-stack solutions (front-end React/Node, back-end Python), applying Spec-Driven Development (specification and tests before implementation) and Harness Engineering (automated validation of the rendered artifact) as the single engineering standard — complementary, not competing approaches;
Architect and operate RAG, LLMOps, and MLOps pipelines on Azure AI Foundry, ensuring network isolation, sandboxing for execution of code generated by LLMs, and end-to-end traceability;
Implement governance, security, and privacy controls for AI by design — model risk management, prevention of prompt injection/data leakage, and minimization and anonymization of personal and health data in accordance with LGPD;
Establish and maintain automated quality gates (QA harness) for AI-generated outputs, providing deterministic feedback (coordinates/metrics) instead of subjective evaluation;
Serve as the technical reference for internal teams and vendors, defining architecture standards, code review practices, and acceptance criteria for AI solutions;

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related field.
Preferred specialization in Artificial Intelligence, Machine Learning, Data Engineering, or Information Security.
Preferred certifications such as Microsoft Azure AI, Azure Engineer/Azure Solutions Architect, ISO/IEC 42001 (AI management), ISO/IEC 27001, LLMOps/MLOps, or cloud certifications (AWS/OCI).
Required proficiency in Python (backend, automation, integration with LLMs) and full-stack front-end technologies (React/Node.js/TypeScript), as well as RAG, LLMOps and MLOps (orchestration, deployment, observability).

Benefits

Comp & perks

Meal and food allowance – Multibenefits Pluxee card (Sodexo)
Transport voucher or parking (per company policy)
Health plan – 2Care Vera Cruz, extendable to dependents
Dental plan – Amil Dental, extendable to dependents
Childcare assistance for female HC employees (children up to 6 years old)
Life insurance
Wellhub (Gympass), extendable to dependents
SESC partnership, extendable to dependents
Profit sharing
Training/course stipend
Access to a training platform