AI Engineer

This is a remote position.

Meet Genesis

Genesis Digital Solutions is a consulting and technology company that helps organizations turn ideas into measurable business impact through digital expertise and AI innovation. Founded in 2018, we operate across Portugal and the United Arab Emirates, supporting clients in multiple industries with intelligent, scalable, and secure solutions. We combine strategy, engineering, and emerging technologies such as AI, Data, Web3, and Digital Product Development to drive transformation end to end. Our focus is on building practical, human-centered solutions and long-term partnerships that enable sustainable growth, innovation, and real-world results.

Your Next Challenge

Join our client’s team as an AI Engineer and help build the next generation of enterprise AI solutions. You'll design, develop, and operate production-grade AI and Generative AI applications, transforming business requirements into scalable systems powered by Large Language Models, AI Agents, Retrieval-Augmented Generation (RAG), and the Microsoft Azure AI ecosystem. This is a hands-on engineering role focused on delivering real business value through enterprise AI.

What You’ll Work On

• Designing and implementing AI-powered solutions that automate business processes and improve operational efficiency.
  
• Building production-ready Generative AI applications, including LLM-powered features, AI Agents, copilots, and orchestration layers.
  
• Developing Retrieval-Augmented Generation (RAG) pipelines and intelligent AI workflows.
  
• Building and integrating AI agents and multi-agent systems using modern orchestration frameworks.
  
• Developing 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 operating AI workloads on Microsoft Azure, leveraging 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, implementing MLOps practices, and ensuring scalability, reliability, and continuous improvement.
  

What We’re Looking For

• 4+ years of professional Software Engineering experience, including at least 1–2 years delivering AI/ML or Generative AI solutions in production.
  
• Proven experience building enterprise AI applications used by real users.
  
• Strong expertise in: Large Language Models (LLMs), Generative AI, Prompt Engineering. AI Agents and Multi-Agent Systems, Retrieval-Augmented Generation (RAG), AI Orchestration Frameworks
  
• Hands-on experience with Microsoft Azure AI services, including: Azure OpenAI Service, Azure AI Foundry, Azure AI Search
  
• Experience extending or integrating Microsoft 365 Copilot and building 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 different AI platforms.
  
• Knowledge of enterprise security, compliance, governance, and AI best practices.
  
• Excellent communication skills with the ability to collaborate across technical and business teams.
  
• Pragmatic, delivery-focused mindset with strong problem-solving abilities.
  

Bonus Points

• Experience with ServiceNow Now Assist or other AI-powered ITSM platforms.
  
• Experience developing enterprise copilots and intelligent automation solutions.
  
• Knowledge of AI governance, responsible AI, and security-by-design principles.
  
• Experience with cloud-native architectures, containerization, and CI/CD pipelines.
  
• Microsoft Azure AI or AI-related certifications.
  

Why You’ll Stay

• A workplace at the forefront of Enterprise AI and Generative AI innovation.
  
• Opportunity to build production-grade AI solutions with real business impact.
  
• Exposure to the latest Microsoft AI technologies, including Azure AI and Microsoft Copilot.
  
• Collaborative environment that values technical excellence and continuous learning.
  
• Support for professional development, training, and certifications.
  
• Health and life insurance.
  
• 25 days of annual leave.