GenAI Engineer Lisboa

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: Gen
AI Engineer

Deliverables:

• Supervise the entire lifecycle of Gen
  AI 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;
• Experience using Azure AI Servicesfor TTS (eg Eleven
  Labs), STT (Whisper-large-v3), STS (gpt-4o-mini-realtime-preview, Azure Document Intelligencefor 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 Guardrailsfor content safety and Lang
  Fusefor observability, evaluation and feedback.
• Microsoft Azure Cloud: Proven experience developing and deploying applications on Azure; Azure Functionsand 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 long‑term memory; Application Insights: Knowledge of logging
• Dev
  Ops & MLOps: Proficiency with Docker for containerizing applications, Azure Container Registryas 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.

Place: Lisbon (hybrid)

Start: ASAP