AI Developer

Accountabilities:

• • Design, develop, deploy, and maintain production-ready AI and machine learning solutions that address business needs.
  • Translate business challenges into scalable AI-enabled applications, services, and enterprise workflows.
  • Build and integrate Generative AI capabilities using LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
  • Develop document intelligence and document-to-data processing pipelines.
  • Build clean, maintainable, well-tested Python applications using sound software engineering, object-oriented design, and scalable architecture practices.
  • Contribute to reusable frameworks, libraries, technical standards, and distributed cloud-native applications.
  • Build and maintain CI/CD pipelines and implement Infrastructure as Code practices for AI applications and supporting infrastructure.
  • Deploy, monitor, and manage AI models and services in production, supporting model lifecycle management, performance, reliability, and observability.
  • Manage containerized solutions using Docker, Kubernetes, and Helm, leveraging Azure services to build scalable AI platforms.
  • Configure monitoring, logging, alerting, dashboards, and other observability capabilities.
  • Establish testing, evaluation, and experimentation frameworks and measure AI solution effectiveness through technical and business metrics.
  • Apply A/B testing and other evaluation approaches where appropriate, continuously optimizing solutions based on data, feedback, and business outcomes.
  • Collaborate with cross-functional teams, participate in architecture and solution-design discussions, and communicate complex technical concepts clearly to technical and non-technical stakeholders.
  • Support knowledge sharing and mentor team members while promoting accountability, trust, and continuous improvement.

  Requirements:

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, Data Analytics, or a related field.
  • Strong professional experience with Python development and software engineering best practices.
  • Proven experience building and deploying AI or machine learning solutions into production environments.
  • Experience with cloud platforms, with Azure preferred.
  • Hands-on experience with Azure DevOps and CI/CD pipeline development.
  • Experience implementing Infrastructure as Code (IaC) and MLOps practices, including model lifecycle management.
  • Experience deploying and supporting scalable distributed systems and enterprise integrations through APIs.
  • Practical experience with Docker, Kubernetes, and Helm.
  • Understanding of software architecture, design patterns, distributed systems, and engineering best practices.
  • Strong analytical, troubleshooting, and problem-solving capabilities.
  • Excellent communication and collaboration skills, with the ability to explain technical concepts to diverse audiences.
  • Experience working in Agile product development environments.
  • Familiarity with LLMs, RAG, Agentic AI, Generative AI, or Document Intelligence is highly desirable.
  • Experience designing enterprise AI platforms or architectures is a plus.
  • Experience developing AI evaluation frameworks and experimentation methodologies is advantageous.
  • Knowledge of responsible AI, security, governance, and compliance practices is desirable.
  • Azure certifications are a plus.
  • Previous experience mentoring engineers or providing technical guidance is advantageous.

  Benefits:

  • 100% remote work from Brazil.
  • Full-time position with a standard daytime work schedule.
  • Opportunity to work on production-grade AI and machine learning solutions with enterprise impact.
  • Exposure to modern technologies including Azure, Generative AI, LLMs, RAG, Agentic AI, Docker, Kubernetes, Helm, and MLOps.
  • Opportunity to work across software engineering, cloud infrastructure, AI development, and DevOps.
  • Collaborative, cross-functional Agile working environment.
  • Opportunities for technical growth, knowledge sharing, and mentoring.
  • Ability to contribute to the development of scalable AI platforms and innovative business solutions.