Genai engineer - f/m/nb

About us

Cegid is a European leader in cloud business management solutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors.

The Generative AI Engineer designs, builds, evaluates, and deploys production-ready AI-powered applications. This role combines applied machine learning, generative AI, backend engineering, and cloud deployment skills to turn AI capabilities into scalable, secure, and maintainable business solutions.

Your mission:

• Build AI-powered applications using Generative AI, Machine Learning, and LLM-based technologies.
• Design and implement RAG solutions, prompt-based systems, AI agents, embeddings, and semantic search.
• Integrate LLM APIs, open-source models, and AI components into enterprise applications.
• Develop backend services, REST APIs, microservices, and model-serving endpoints using Python and/or .NET C#.
• Work with structured and unstructured data across SQL, NoSQL, object storage, data lakes, and vector databases.
• Build data pipelines for ingestion, preprocessing, retrieval, and AI interaction.
• Evaluate AI systems for quality, relevance, hallucination, latency, cost, reliability, and security.
• Apply MLOps and LLMOps practices, including CI/CD, monitoring, evaluation, versioning, and feedback loops.
• Deploy AI services to cloud environments, especially Azure, using containers and orchestration platforms.
• Collaborate with product, engineering, data, architecture, security, and business teams.
• Ensure solutions follow responsible AI, privacy, security, scalability, and maintainability standards.

About you

• Strong proficiency in Python for Generative AI, Machine Learning, data processing, and backend development.
• Experience with backend development using .NET C# and/or Python frameworks such as FastAPI.
• Hands-on experience building REST APIs, microservices, and production-grade backend services.
• Practical experience with LLM APIs, prompt engineering, embeddings, RAG, and semantic search.
• Understanding of NLP concepts, language models, text processing, and AI evaluation.
• Experience with SQL, NoSQL, object storage, data lakes, and vector databases.
• Experience deploying applications or AI services to Azure or similar cloud platforms.
• Familiarity with Docker, Kubernetes, CI/CD, monitoring, and observability.
• Understanding of MLOps or LLMOps practices.
• Ability to optimize AI applications for quality, performance, latency, scalability, and cost.
• Knowledge of secure software development practices for APIs, cloud services, and enterprise systems.

Benefits

> Attractive and transparent compensation from recruitment

> Annual bonus based on achievement of individual and company goals

> Hybrid work model and flexible working hours

> 25 days of vacation per year

> Health insurance

> Access to online learning platforms and in-house gym

> Integration into a dynamic, enthusiastic, and constantly growing team

Location

Rua Dr. Egídio Guimarães nº 74, Braga, Portugal

Our commitment

At Cegid, the diversity of our talents is a wealth that we value, recruiting based on your skills and your potential to learn and grow with us.