Intermediate Genai Engineer (Hybrid)

INTERMEDIATE GENAI ENGINEER (HYBRIDLISBON)

Portuguese company hires for hybrid / remote position
Location:Lisbon Portugal
Only candidates already based in Portugal willbe considered.
LanguageRequirements: English C1 (mandatory) Portuguese & Spanish(optional)
Experience Level: Upto 6 years
Project Type:Engineering
Instructions:Please send your CV in English and make sure to include all skills andexperience that match the requirements of the opportunity. This willsignificantly increase your chances of success

Role Overview

We are looking for an Intermediate GenAI Engineer passionate aboutbuilding next-generation AI solutions. If you love working with LLMs Generative AIcloud platforms and end-to-end AI pipelines this role will give you theopportunity to design build deploy and optimize real business-critical GenAIapplications in a global environment.

Important: To be considered for this role all mandatory requirements must beexplicitly listed in your CV.

What You Will Do

Design and optimize Generative AI models formultiple business scenarios.

Train validate and continuously improve modelperformance.

Implement GenAI solutions on Azure AWS or GCPensuring scalability and efficiency.

Develop end-to-end applications using the Microsoft ecosystem(OpenAI AI Search).

Build autonomous GenAI applications and(preferably) Microsoft Copilot-based solutions.

Contribute to RAG architectures vector searchorchestration frameworks and cloud-native deployments.

Mandatory Skills Must BeClearly Listed in the CV

Programming & AIExpertise

Strong proficiency in Python and AI/MLlibraries.

Hands-on experience building applications with LLMs (Azure OpenAI GPT-4o o3).

Knowledge of Gemini 2.5 Pro and Claude 3.7 Sonnet (plus).

Experience with:

o Azure AI Services(TTS/STS/STT Document Intelligence embeddings)

o RAG architectures

o LangChain & LangGraph

o FastAPI for backend APIdevelopment

o Guardrails LangFuse

Azure Cloud Proficiency

Proven experience developing and deploying on Microsoft Azure.

Azure Functions Logic Apps Azure OpenAI.

Azure AI Search / AI Foundry (vector stores& similarity search).

Data Factory Databricks Azure Blob StorageCosmosDB Application Insights.

DevOps & MLOps

Docker containers Azure Container Registry(preferred).

CI/CD pipelines (GitHub Actions).

Multi-environment deployments (dev prod).

Secrets management: Azure Key Vault GitHubHashiCorp Vault.

DesirableSkills (Copilot Development)

Experience with the Microsoft Copilot Studio Frameworkincluding:

Configuring pluggable grounding andRAG setups.

Designing structured prompts validation logicand content safety guardrails.

Working with Azure OpenAI Cognitive Search.

Implementing plugins external functions RESTAPI integrations.

Microsoft 365 Integration(Plus)

Graph API: emails calendarsOneDrive/SharePoint Teams.

Power Automate: workflows triggered by Copilotinteractions.

Permissions setup (Entra ID) API testinglicensing understanding.

Dataverse Power Fx basic Power Apps.

Designing conversational flows triggerscontextual logic.

Project Environment

You will work in a global distributedengineering environment collaborating with architects data scientists cloudengineers and business teams to deliver robust AI-powered solutions.

To Be Considered Your CV MUST Include

Make sure these keywords appear explicitly inyour résumé:

Python

LLMs (GPT-4o / Azure OpenAI)

Generative AI / Machine Learning

Azure Cloud (Functions Logic Apps OpenAI AISearch)

RAG / Vector Search

LangChain / LangGraph

FastAPI

Docker / CI-CD / GitHub Actions

Azure Key Vault

Data Factory / Databricks

CosmosDB / Blob Storage

Application Insights

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