AI Expert

Job Description

As part of a strategic initiative on Generative AI, you will design, build, and industrialize high‑visibility GenAI solutions.

Key Responsibilities

• 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 LangChain, LlamaIndex, 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.
• 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).

What We Offer

• Opportunity to work on high-visibility GenAI solutions
• Collaborative and dynamic work environment
• Professional growth and development opportunities
• Competitive salary and benefits package