GEN AI Expert

As part of a strategic initiative on Generative AI, you will design, build, and industrialize high-visibility GenAI solutions. You will work closely with innovation, data, and IT teams to deliver robust, scalable, and secure AI capabilities that integrate seamlessly with enterprise systems

Key requirement: -

• Design and develop AI-powered applications integrating Large Language Models (LLMs), including RAG, embeddings, and agent-based components.

• Define and contribute to scalable GenAI architectures, ensuring robustness, performance, and industrial readiness.

• Implement APIs, microservices, and AI pipelines within an industrial Cloud environment.

• Support client teams through scoping, technical expertise, architecture reviews, audits, and best-practice guidance.

• Ensure solution quality, security, compliance, and observability, following governance and risk-management standards.

Required Profile:

• Strong backend engineering experience in Python, Node.js, or Java.

• Proficiency with GenAI frameworks such as Lang Chain, Llama Index, Hugging Face, and OpenAI API.

• Hands-on exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience with demanding production-grade industrial environments. Internal

• Ability to operate effectively in large enterprise ecosystems: structured communication, rigor, and a strong service mindset.

• Experience with RAG architectures, vector databases, and MLOps pipelines is a strong plus. Team Life & Ways of Working

• Embrace and respect Agile rituals, contributing actively to continuous improvement of team processes and collaboration.

• Participate in workload estimation for backlog items, challenging complexity and scope when needed.

• Contribute to sprint planning and allocation of tasks, supporting the delivery of incremental value and modernization of components (Evergreen approach).

Behavioral Skills:

• Planning & organizing,

• Teamwork & Collaboration,

• Customer Focus,

• Continuous learning

• Ability to rapidly learn and take advantage of new concepts, business models, and technologies

• Working with internal and external stakeholders in an international environment.

• Product approach mindset Internal.