Engineer GenAI - Lisboa - 13/10/25 Lisboa

Local (distrito, região): Lisboa

Função: Engineer Gen
AI

Nível: PL

Data de início: Imediato

Duração da contratação: 1 ano

Inglês B2

Português + Espanhol - Opcional

Must have

• Proven experience in Machine Learning, Generative AI, or related fields;
• Proven experience implementing Gen
  AI solutions in enterprise environments;
• Ability to optimize and manage Gen
  AI models in cloud infrastructures;
• Ability to lead teams and manage generative AI projects.

Required skillset

• Programming: Strong proficiency in Python and experience with relevant libraries.
• Generative AI & LLMs: Demonstrable experience building applications with Large Language Models on Microsoft Azure ecosystem, namely
  - 4o and o3.
• Knowledge of Gemini 2. 5 Pro and Claude 3. 7 Sonnet a plus.
• Experience using Azure AI Services for TTS (eg Eleven
  Labs), STT (Whisper-large-v3), STS (gpt-4o-mini-realtime-preview, Azure Document Intelligence for OCR and Embeddings (text-embedding-3-small and/or
  -
  - 3-large)
• Deep understanding of Retrieval Augmented Generation (RAG) architecture and principles.
• Hands-on experience with LLM orchestration frameworks, specifically Lang
  Chain and Lang
  Graph.
• Backend API development using Fast
  API
• Knowledge of Guardrails for content safety and Lang
  Fuse for observability, evaluation and feedback
• Microsoft Azure Cloud: Proven experience developing and deploying applications on Azure
• Azure Functions and Logic Apps: Experience building serverless applications.
• Azure Open
  AI Service: Experience with deploying and using models like GPT-4 and text embedding models.
• Azure AI Search / AI Foundry: Knowledge of creating and managing vector stores for similarity search.
• Data Factory and Databricks for ingestion pipelines
• Azure Blob Storage: Familiarity with cloud storage solutions.
• Cosmos
  DB: Knowledge of creating and managing
  - term memory
• Application Insights: Knowledge of logging
• Dev
  Ops & MLOps: Proficiency with Docker for containerizing applications, Azure Container Registry as a plus.
• Experience deploying applications to multiple environments (e. g. , dev, production) on Azure.
• Familiarity with CI/CD principles and scripting for automation, namely Git
  Hub Actions.
• Secrets management using Azure Key Vault, Git
  Hub and Hashi
  Corp Vault

Desirable skillset, for Copilot development (desirable)

• AI Foundry knowledge in creating Copilots with Gen
  AI capabilities (Microsoft Copilot Studio Framework. Key skills include: - Creating pluggable grounding: configuring how the Copilot fetches external data. - Setting up Retrieval Augmented Generation (RAG). - Working with Azure Open
  AI, Azure Cognitive Search, and vector search. - Designing structured, custom prompts. - Implementing plugins, external functions, and API integrations. - Applying guardrails, safety filters, and validation logic.
• Microsoft 365 (M365) Integration: - Knowledge in Integration with Microsoft Graph API: Reading emails, calendars, One
  Drive/Share
  Point files, Teams meetings, etc. - Knowledge using M365 connectors in Power Automate to retrieve calendar events, schedule meetings, send Teams messages.
• Key Skills: - Microsoft Entra ID (Azure AD) permissions. - Graph Explorer/Postman for testing permissions and endpoints. - Understanding M365 licensing and API usage limits.
• Power Platform. Key Skills include: - Power Automate: building workflows triggered by Copilot interactions. - Dataverse: structured data storage and retrieval. - Power Fx: using formulas for basic business logic. - Power Apps (basic): for integrating with custom apps.
• Conversational Logic. Key Skills include: - Designing topics and triggers. - Creating conditional flows with variables. - Using session variables and maintaining context across interactions.
• API and External Services Integration: - Making REST API calls via custom connectors or Power Automate. - Knowledge of OAuth 2. 0, Azure AD, and
  - based authentication.

Years of Experience

Up to 6 years of experience in the platform/language/technology/framework to be defined in the job description to be hired.