Generative Ai Engineer & Data

Generative Ai Engineer & Data
Lisboa
Lisboa, Lisboa, Portugal

Decskill was founded in 2014 as an IT Consulting Company and their main mission is to delivery value through the knowledge. We enable companies to meet the chalenges of digital world by providing our clients with business models that ensure technological capacity, flexibility and agility. We are more than 500 consultants with offices in Lisbon, Porto and Madrid.

DECSKILL operates in 3 main areas:

• DECSKILL TALENT: Through which we provide our clients with an extension to their IT teams;
  
  
• DECSKILL BOOST: Through which we provide our client with software development models to increase capacity and optimize Time-to-Market, where we create and manage teams that deliver according to their needs, at the desired speed;
  
  
• DECSKILL CONNECT: Through which we provide our client with consulting services, as well as the implementation and management of information technology infrastructures.

Our practice results in the creation of value for our customers, either by delivering qualified and
- added services, or through highly qualified and motivated professionals, as well as technology solutions that allow us to operate and transform the business of our customers.

We are searching for a Azure Data Engineer!

Responsibilities & Requirements:

• Programming: Strong proficiency in Python and experience with relevant libraries.
• Generative AI and Large Language Models:
• Proven experience building applications with Large Language Models in the Microsoft Azure ecosystem, specifically
  - 4o and o3.
• Knowledge of Gemini 2. 5 Pro and Claude 3. 7 Sonnet is a plus. * Experience with Azure AI Services for TTS (e. G. , Eleven
  Labs), STT (Whisper-large-v3), STS (gpt-4o-mini-realtime-preview, Azure Document Intelligence for OCR), and Embeddings (embedding-text-3-small and/or
  -
  - 3-large).
• Deep understanding of the architecture and principles of Recovery Augmented Generation (RAG).
• Hands-on experience with Large Language Model orchestration frameworks, specifically Lang
  Chain and Lang
  Graph.
• Backup API development using Fast
  API.
• Knowledge of Guardrails for content security 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 implementing and using models such as GPT-4 and text embedding models.
• Azure AI Search / AI Foundry: Knowledge of creating and managing vector repositories for search.
• Data Factory and Databricks for congestion pipelines.
• Azure Blob Storage: Familiarity with cloud storage solutions.
• Cosmos
  DB: Knowledge of creating and managing
  - term memory.
• Application Insights: Registry Knowledge.

Dev
Ops and MLOps:

• Proficiency in Docker for application containerization, with Azure Container Registry a plus.
• Experience deploying applications to multiple environments (e. G. , development, production) on Azure.
• Familiarity with CI/CD principles and scripting for automation, particularly Git
  Hub Actions.
• Secrets management using Azure Key Vault, Git
  Hub, and Hashi
  Corp Vault.
• Knowledge of AI Foundry in creating Copilots with Gen
  AI capabilities (Microsoft Copilot Studio Framework). (PLUS)

Key skills include:

• Creating dockable grounding: configuring how Copilot fetches external data.
• Configuring Retrieval Augmented Generation (RAG).
• Working with Azure Open
  AI, Azure Cognitive Search, and vector search.
• Creating structured and custom prompts.
• Implementing plugins, external functions, and API integrations.
• Applying guardrails, security filters, and validation logic.
• Integration with Microsoft 365 (M365).
• Knowledge of integrating with the Microsoft Graph API: reading emails, calendars, One
  Drive/Share
  Point files, Teams meetings, etc.
• Knowledge of using M365 connectors in Power Automate to retrieve calendar events, schedule meetings, and send Teams messages.

Key skills include:

• Microsoft Login ID (Azure AD) permissions.
• Graph Explorer/Postman for testing permissions and endpoints.
• Understanding of M365 licensing and API usage limits.
• Power
  Platform. Key skills include:
• Power Automate: Creating workflows triggered by Copilot interactions.
• Dataverse: Storing and retrieving structured data. Power FX: Using formulas for basic business logic.
• Power Apps (basic): For integrating with custom applications.
• Conversational Logic. Key skills include:
• Creating topics and triggers.
• Creating conditional flows with variables.
• Using session variables and maintaining context between interactions.
• Integrating with APIs and External Services.
• Making REST API calls through custom connectors or Power Automate.
• Knowledge of OAuth 2. 0, Azure AD, and
  - based authentication.
• Defining and optimizing generative AI models for different business scenarios;
  
  
• Training and validating Gen
  AI models, ensuring their performance;
  
  
• Implement Gen
  AIsolutions on cloud platforms, ensuring their efficiency;
  
  
• Contribute to the continuous improvement of analytical processes through integration with Gen
  AI.
• Autonomous development of Gen
  AI-based applications (Open
  AI, AI Search)
• Autonomous development of Copilot (Microsoft) solutions (PLUS).

If you’re interested in this job, please send your CV in to carolina. mustra@decskill.com with reference “CM/Generative AI Engineer & Data”.

Thank You!

Decskill is committed to equality and
- discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

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