DBServices Portugal

Senior Full-Stack Developer, AI/ML

DBServices Portugal

full-time

Posted on:

Origin:  • 🇵🇹 Portugal

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Job Level

Senior

Tech Stack

AWSAzureCloudDjangoDockerFlaskGoogle Cloud PlatformMongoDBPostgresPythonPyTorchTensorflow

About the role

  • Design, develop and deploy full-stack solutions leveraging cloud-native services and modern frameworks.
  • Build and integrate APIs using FastAPI, Flask, or Django, ensuring scalability and performance.
  • Implement Azure Functions, Service Bus, and APIM for enterprise-grade integrations.
  • Develop and optimize AI/ML solutions with frameworks like TensorFlow, PyTorch, or Hugging Face.
  • Work with Generative AI models (LLMs, GANs, VAEs, Diffusion Models) to deliver advanced solutions.
  • Apply expertise in NLP, OCR, and multimodal AI applications.
  • Containerize and manage deployments using Docker.
  • Manage and optimize data with databases such as PostgreSQL, MongoDB, or CosmosDB.
  • Deploy and monitor AI models on Azure, AWS, or GCP.
  • Collaborate in agile, cross-functional teams, ensuring adherence to software engineering best practices.
  • Leverage agentic frameworks (AutoGen, Semantic Kernel, LangGraph, Crew AI).

Requirements

  • Strong proficiency in Python (mandatory) or C# as an alternative.
  • 1+ years of experience building GenAI solutions or 1+ years of experience in prompt engineering.
  • Experience with FastAPI, Flask, or Django for building and integrating APIs.
  • Experience implementing Azure Functions, Service Bus, and APIM.
  • Experience developing and optimizing AI/ML solutions with TensorFlow, PyTorch, or Hugging Face.
  • Experience with Generative AI models (LLMs, GANs, VAEs, Diffusion Models).
  • Expertise in NLP, OCR, and multimodal AI applications.
  • Experience containerizing and managing deployments using Docker.
  • Experience with databases such as PostgreSQL, MongoDB, or CosmosDB.
  • Experience deploying and monitoring AI models on Azure, AWS, or GCP.
  • Familiarity with agentic frameworks (AutoGen, Semantic Kernel, LangGraph, Crew AI).
  • Solid background in software engineering principles, agile delivery, and cloud environments.
  • Advanced English is mandatory.
  • Microsoft Azure AI Engineer Associate certification is a plus.