GenAI Engineer - (Híbrido - Lisboa)

We're fast learners, hard workers, natural collaborators... and we Make Modern Happen!

Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together.

If you share our vision, join us!

Right now, we are looking for a GenAI for a client on our Talent Team.

Your responsibilities include:

• Develop
  Generative AI -based solutions using Azure cloud services.
  
• Integrate
  Large Language Models (LLMs) into applications and business workflows.
  
• Build
  pipelines and architectures for AI -powered applications.
  
• Develop
  APIs and backend services that leverage generative AI capabilities.
  
• Implement
  techniques such as prompt engineering, RAG (Retrieval -Augmented Generation),
  and embeddings.
  
• Integrate
  AI solutions with databases, search engines, and existing systems.
  
• Ensure
  scalability, security, and performance of AI solutions.
  
• Collaborate
  with data, product, engineering teams, and business stakeholders.
  
• Evaluate
  and test models to improve the quality of AI responses and outputs.
  

You must have:

• 3+ years of experience in software
  engineering, data, or AI.
  
•  Experience with Azure AI services.
  
• Experience with LLMs and Generative
  AI frameworks.
  
• Strong knowledge of Python.
  
• Experience with REST APIs and
  service integration.
  
• Knowledge of databases and storage
  systems.
  
• Experience with Git and
  collaborative workflows.
  
• Understanding of Machine Learning
  and NLP concepts.
  
• Azure OpenAI Service
  
• Azure AI Studio
  
• Azure Cognitive Search
  
• Azure Functions / App Services
  
• LangChain, Semantic Kernel, or
  similar frameworks
  
• Vector databases
  
• Embeddings and RAG architectures
  

• Experience
  with MLOps or LLMOps.
  
• Experience
  with containers and Docker.
  
• Knowledge
  of Kubernetes or Azure Kubernetes Service (AKS).
  
• Experience
  with CI/CD pipelines.
  
• Experience
  in evaluation and tuning of AI models
  

We offer:

• Integration into a dynamic and motivated team to perform the role.
  
• Additional training.
  
• Salary package in line with the responsibilities of the role.
  
• Professional growth and career development opportunities.
  

Workplace: Lisbon - Hybrid

Claranet, Make modern happen!