Senior GenAI Engineer

Senior GenAI Engineer

We are looking for a Senior GenAI Engineer to join our team and play a key role in designing, developing, and deploying cutting-edge Generative AI solutions.

In this role, you will work hands-on across the full lifecycle of GenAI initiatives, helping build scalable AI-powered systems and data solutions across cloud and on-premises environments. You will collaborate with multidisciplinary teams to transform business needs into intelligent, production-ready applications.

The role combines software engineering, data engineering, and AI expertise, with a strong focus on modern GenAI architectures and scalable delivery.

Responsibilities

• Build and maintain data pipelines to move and transform data across cloud and on-premises systems.
• Design and maintain scalable data models and datasets optimized for analytics and AI workloads.
• Integrate data from multiple sources while applying governance, quality, and validation rules.
• Develop and deploy Generative AI solutions, including intelligent applications and APIs.
• Work with stakeholders to translate business requirements into scalable technical solutions.
• Contribute to the design and implementation of modern AI architectures, including RAG-based solutions.
• Collaborate with engineering and data teams to ensure performance, scalability, and maintainability.
• Participate in troubleshooting, optimization, and continuous improvement initiatives.

Requirements

• 4+ years of experience in automation, integration, software engineering, and/or data engineering.
• At least 2 years of dedicated experience delivering GenAI solutions.
• Strong proficiency in Python and SQL.
• Proven experience developing and deploying applications and APIs in cloud environments.
• Experience with:
• AI model integration
• Agent-based architectures
• RAG systems
• Vector databases
• Hands-on experience with GenAI frameworks such as:
• LangChain
• LlamaIndex
• Similar ecosystems
• Knowledge of MCP and A2A protocols is highly valued.
• Strong understanding of software engineering and data engineering principles.
• Ability to work autonomously in collaborative and fast-paced environments.
• Fluency in English.

Nice-to-have

• Experience with:
• Azure AI Search
• Graph databases (e.g., Neo4j / Gremlin)
• AWS or GCP environments
• Microsoft Foundry
• Azure Container Apps / Kubernetes
• Azure Cosmos DB / Azure Storage
• Availability to work in a hybrid model in Lisbon and/or Porto.
• Experience working in consulting or enterprise environments.
• Strong communication and stakeholder management skills.
• Interest in emerging AI technologies and continuous learning.

Certifications (Valued)

• AI-900: Azure AI Fundamentals
• AI-102: Azure AI Engineer Associate
• DP-900: Azure Data Fundamentals
• DP-100: Azure Data Scientist Associate

If this sounds like you, share your CV with us and let’s talk!