GenAI Engineer - F/M/NB

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. In today’s rapidly changing world, Cegid \& its 6,000 employees make more possible by helping their 750,000 customers unleash their potential thanks to innovative and purposeful business solutions.Make more possible, is our vocation. It reflects who we are, how and why we do things the way we do them for our clients. Thanks to this, we can affirm that we work every day to shape your future, ours and our clients’ industries’ future. A future we have been defining for years with our employees, by inventing solutions that change the way people work, for a sustainable performance.

@AI TeamThe 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. The role focuses on large language models, retrieval\-augmented generation, AI agents, workflow automation, APIs, and enterprise AI services. It sits at the intersection of applied AI, software engineering, backend development, and cloud architecture.

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.


• 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.

Na Cegid, a diversidade dos nossos talentos é uma riqueza que valorizamos, recrutando com base nas tuas competências e no teu potencial para aprender e crescer connosco. Oferecemos\-te um ambiente profissional onde cada pessoa pode prosperar e expressar a sua singularidade. O nosso compromisso baseia\-se em três pilares fundamentais: igualdade de género, inclusão de pessoas com deficiência e representação de todas as diversidades.

Benefícios

\> Remuneração atrativa e transparente desde o recrutamento

\> Bonus anual com base no cumprimento de objetivos individuais e da empresa

\> Modelo de trabalho híbrido e horário de trabalho flexível

\> 25 dias de férias por ano

\> Seguro de saúde

\> Acesso a plataformas de aprendizagem online e academia interna

\> Integração numa equipa dinâmica , entusiasta e em constante crescimento

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