AI Engineer

AI Engineer

We're looking for an AI Engineer to design, build, and operate production-grade AI and Generative AI solutions across the company. This is a hands-on engineering role: you'll turn architecture and business requirements into working, scalable systems - including LLM applications, AI agents, RAG pipelines, and integrations with our enterprise platforms. The role has a strong emphasis on Microsoft Azure and the Microsoft Copilot ecosystem, which are our primary enterprise platforms.

The role is in hybrid model with visits in Lisbon office. Key Responsibilities

• Design and implement AI-driven solutions that automate business processes, reduce manual effort, and improve service delivery across the organization.
• Build production-grade GenAI applications — LLM-powered features, AI agents, copilots, and orchestration layers — translating architectural patterns into working code.
• Contribute to PoCs and pilots, rapidly prototyping new capabilities and bringing them to a production-ready state when validated.
• Develop and integrate AI agents and multi-agent systems using established orchestration frameworks.
• Build APIs and microservices that expose AI capabilities to internal teams and products, following architecture and security standards.
• Integrate AI solutions with enterprise platforms (e.g., CRM, ERP, ITSM, data warehouse, identity, observability stack) via APIs, events, and connectors.
• Ensure designs support scale, reliability, and change management — versioning, backward compatibility, and clear contracts.
• Contribute to responsible AI practices and internal policy development by translating principles into engineering standards, reusable patterns, and reference implementations.
• Implement governance and security controls in code, including: data classification and PII handling, prompt injection defences and content filtering, audit logging and traceability, and RBAC/least-privilege access patterns.

• Min. 4+ years of professional software engineering experience, with 1–2 years building and shipping AI/ML or Generative AI solutions in production.
• Proven track record of delivering AI features that run in production with real users.
• Hands-on experience in enterprise environments: security, compliance, integrations, and scale.
• LLMs & GenAI: deep practical experience with foundation models, prompt engineering, tool/function calling, structured outputs, and context management.
• Agents & orchestration: hands-on experience building agents, copilots, or multi-agent workflows.
• Microsoft Azure: deploying and operating AI workloads on Azure — specifically Azure OpenAI Service, Azure AI Foundry, Azure AI Search, and related services.
• Microsoft Copilot ecosystem: extending or integrating Microsoft 365 Copilot; building custom copilots and agents with Microsoft Copilot Studio.
• Python: strong production-quality Python — typing, testing, packaging, and async patterns.
• APIs & services: REST and/or gRPC; event-driven patterns; API design and versioning.
• MLOps fundamentals: experiment tracking, model and prompt versioning, automated evaluation, and monitoring of AI systems in production.
• Multi-model experience: familiarity with working across LLM providers (e.g., Azure OpenAI, third-party models via Azure AI Foundry) and adapting to provider-specific patterns such as tool use, structured outputs, and long-context handling.
• Experience with embedded/on-platform AI tooling such as Service Now Now Assist or similar ITSM AI capabilities.
• Strong communication skills — able to explain technical decisions to both engineers and non-technical stakeholders.
• Pragmatic, delivery-oriented mindset; comfortable balancing speed of iteration with production quality.
• Fluency in English, written and spoken.

Please send your CV in English.

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