AI Engineer

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Designing and implementing AI-driven solutions that automate business processes and enhance operational efficiency.

• Developing production-ready Generative AI applications, featuring LLM-powered functionalities, AI Agents, copilots, and orchestration layers.

• Creating Retrieval-Augmented Generation (RAG) pipelines and intelligent AI workflows.

• Constructing and integrating AI agents and multi-agent systems using contemporary orchestration frameworks.

• Designing APIs and microservices to expose AI capabilities across enterprise applications.

• Integrating AI solutions with enterprise platforms such as CRM, ERP, ITSM, Data Warehouses, Identity platforms, and observability tools.

• Deploying and managing AI workloads on Microsoft Azure, utilizing Azure OpenAI Service, Azure AI Foundry, Azure AI Search, and related services.

• Extending and integrating Microsoft 365 Copilot and developing custom copilots using Microsoft Copilot Studio.

• Implementing AI governance, security, and responsible AI practices, including prompt injection protection, data classification, audit logging, and RBAC.

• Contributing to Proof of Concepts, pilots, and the industrialization of AI solutions into production environments.

• Monitoring AI systems, applying MLOps practices, and ensuring scalability, reliability, and continuous improvement.

⛳️ Requirements

• 4+ years of professional software engineering experience, including at least 1–2 years delivering AI/ML or Generative AI solutions in production.

• Proven experience in building enterprise AI applications utilized by actual users.

• Strong expertise in: Large Language Models (LLMs), Generative AI, and Prompt Engineering.

• Experience with AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), and AI Orchestration Frameworks.

• Hands-on experience with Microsoft Azure AI services, such as: Azure OpenAI Service, Azure AI Foundry, and Azure AI Search.

• Experience in extending or integrating Microsoft 365 Copilot and developing solutions with Microsoft Copilot Studio.

• Strong Python development skills, including testing, packaging, typing, and asynchronous programming.

• Experience designing REST APIs, microservices, and event-driven architectures.

• Good understanding of MLOps concepts, including experiment tracking, model and prompt versioning, automated evaluation, and production monitoring.

• Experience working with multiple LLM providers and adapting solutions across various AI platforms.

• Knowledge of enterprise security, compliance, governance, and AI best practices.

• Excellent communication skills with the ability to collaborate effectively across technical and business teams.

• Pragmatic, delivery-oriented mindset with strong problem-solving skills.

🏝️ Benefits

• Health and life insurance

• 25 days of annual leave