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.
Role: GenAI Engineer
Deliverables:
Supervise the entire lifecycle of GenAI solutions, from development to production;
Implement generative AI strategies for predictive and prescriptive solutions;
Explore new opportunities for applying generative AI across various areas;
Contribute to the evolution of cloud infrastructures with a focus on AI.
Expertise:
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 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.
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.
Place: Lisbon (hybrid)
Start: ASAP
