This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Developer based in Brazil.
This is a fully remote opportunity focused on building production-ready AI solutions that generate measurable business value.
You will work across AI engineering, software development, cloud infrastructure, DevOps, MLOps, and Generative AI.
The role offers end-to-end ownership, from translating business challenges into technical solutions through deployment and ongoing optimization.
You will develop scalable applications using technologies such as Python, Azure, LLMs, RAG, and Agentic AI frameworks.
Collaboration with product, engineering, and business stakeholders will be essential to delivering secure, reliable, and maintainable solutions.
You will also contribute to AI experimentation, evaluation, observability, and continuous improvement in a modern Agile environment.
This is an opportunity to help shape enterprise AI capabilities while working on technically challenging, high-impact initiatives.
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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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