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GenAI Engineer

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Descrição do Emprego - GenAI Engineer


Overview:


We are a global energy company based in Portugal, known for its strong commitment to sustainability and innovation. As a leader in renewable energy, we focus on clean electricity generation through wind, solar, and hydro power.


What are we looking for?



  • Proven experience in Machine Learning, Generative AI, or related fields;

  • Experience in data modeling and AI pipeline development;

  • Proficiency with cloud solutions (Azure, AWS, Google Cloud);

  • Ability to collaborate on global projects and work in distributed teams;

  • Programming: Strong proficiency in Python and experience with relevant libraries;

  • Experience using Azure AI Services for TTS  (eg ElevenLabs), STT (Whisper-large-v3), STS (gpt-4o-mini-realtime-preview, Azure Document Intelligence for OCR and Embeddings (text-embedding-3-small  and/or text-embedding-3-large);

  • Deep understanding of Retrieval Augmented Generation (RAG) architecture and principles;

  • Hands-on experience with LLM orchestration frameworks, specifically LangChain and LangGraph;

  • Backend API development using FastAPI;

  • Knowledge of Guardrails for content safety and LangFuse for observability, evaluation and feedback;

  • Define and optimize generative AI models for different business scenarios;

  • Train and validate GenAI models, ensuring strong performance;

  • Implement GenAI solutions on cloud platforms, ensuring their efficiency;

  • Contribute to the continuous improvement of analytical processes through the integration of GenAI;

  • Autonomous development of applications based on Generative AI (OpenAI, AI Search);

  • Autonomous development of Copilot solutions (Microsoft).


Generative AI & LLMs:



  • Demonstrable experience building applications with Large Language Models on Microsoft Azure ecosystem, namely gpt-4o and o3;

  • Knowledge of Gemini 2.5 Pro and Claude 3.7 Sonnet a plus.


Microsoft Azure Cloud:



  • Proven experience developing and deploying applications on Azure;

  • Azure Functions and Logic Apps: Experience building serverless applications;

  • Azure OpenAI 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;

  • CosmosDB: Knowledge of creating and managing long-term memory;

  • Application Insights: Knowledge of logging.


DevOps & 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 GitHub Actions;

  • Secrets management using Azure Key Vault, GitHub and HashiCorp Vault.


AI Foundry knowledge in creating Copilots with GenAI capabilities (Microsoft Copilot Studio Framework):



  • Creating pluggable grounding: configuring how the Copilot fetches external data;

  • Setting up Retrieval Augmented Generation (RAG);

  • Working with Azure OpenAI, 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, OneDrive/SharePoint files, Teams meetings, etc.;

  • Knowledge using M365 connectors in Power Automate to retrieve calendar events, schedule meetings, send Teams messages;

  • Microsoft Entra ID (Azure AD) permissions;

  • Graph Explorer/Postman for testing permissions and endpoints;

  • Understanding M365 licensing and API usage limits.


Power Platform:



  • 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:



  • 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 token-based authentication.



What can you expect from us?



  • A permanent job contract for a long term project;

  • Tech equipment + SIM Card + personal smartphone;

  • Health and Life Insurance;

  • Social events and team buildings;

  • The commitment of letting you grow with us, and be rewarded accordingly;

  • A dynamic and young team that will be always there to support you;

  • Training in the latest technologies;

  • Coffee, fruits, snacks and a warm welcoming when you pass by the office.



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