Timestamp Group aggregates several leading Portuguese IT solutions and services companies around the concepts of excellence and knowledge sharing. We are committed to technological leadership, based on the quality of our service and technological solutions, supported by continuous training and certification.
Responsibilities:
- Lead the development and implementation of complex GenAI solutions;
- Optimize data pipelines to efficiently integrate GenAI models;
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Participate in strategic digital transformation projects with a focus on generative AI;
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Prepare data and build prototypes for enterprise generative AI applications.
Main Skills:
- Programming: Strong proficiency in Python and experience with relevant libraries;
- 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;
- 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;
- 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;
- 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.
Nice-to-have:
- 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 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;
- 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.
Employee Benefits:
• Health insurance
• Flexibility in organizational routine
• Training and certifications
• Employee Support Program (in 5 areas, including psychology)
• Birthday and seniority gifts
• Monthly Happy Hour
• Benefits portal with attractive offers