Senior Applied AI Software Engineer

Brazil
July 23, 2026
Full Time Remote
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Job Description

An exciting opportunity is available for an experienced Senior Applied AI Software Engineer to join a global technology-driven healthcare organization. This role is ideal for professionals passionate about building production-grade software solutions powered by artificial intelligence, machine learning, and modern engineering practices. The successful candidate will develop scalable AI applications, intelligent automation systems, and software products that deliver measurable business value.

Location: São Paulo, State of São Paulo, Brazil (Remote)
Employment Type: Full-time

Key Responsibilities
  • Design, develop, test, and maintain scalable production software systems and APIs.
  • Build AI-powered applications using large language models (LLMs), agentic AI, and intelligent automation technologies.
  • Develop prompt engineering frameworks and implement Retrieval-Augmented Generation (RAG), orchestration, tool-calling, and memory-based AI workflows.
  • Collaborate with data scientists, engineers, business analysts, and IT teams to transform business requirements into practical technical solutions.
  • Deploy, monitor, optimize, and continuously improve AI systems for performance, reliability, quality, and cost efficiency.
  • Operationalize statistical, predictive, and AI models for real-world production environments.
  • Contribute to software architecture, engineering standards, and best practices throughout the development lifecycle.
  • Support the development of AI-driven decision-support platforms, digital twin solutions, and workflow automation tools.
Requirements
  • Minimum of 5 years of professional software engineering experience.
  • Proven experience delivering production software applications and services.
  • Experience building AI-enabled products or intelligent systems.
  • Strong proficiency in React, Node.js, TypeScript, and Python.
  • Experience developing APIs, scalable architectures, and system integrations.
  • Strong understanding of SQL, data modeling, and data integration.
  • Experience with automated testing, CI/CD pipelines, and modern software engineering practices.
  • Hands-on experience with Large Language Models (LLMs), generative AI, and prompt engineering.
  • Knowledge of Retrieval-Augmented Generation (RAG), AI orchestration, and agentic workflows.
  • Experience evaluating, selecting, deploying, and optimizing foundation AI models.
  • Familiarity with monitoring, testing, and supporting AI applications in production.
Preferred Qualifications
  • Experience with Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Knowledge of vector databases and semantic search technologies.
  • Experience connecting AI systems to enterprise tools and data sources.
  • Familiarity with MLOps and AI model lifecycle management.
  • Experience with Docker, Kubernetes, and cloud-native application deployment.
  • Background in digital twin technology, decision science, healthcare, market research, or data services is an advantage.

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