GenAI Engineer

Company Description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

We are  seeking a talented and experienced Generative AI Engineer to lead the development and deployment of cutting-edge AI solutions. This role will focus on building scalable applications using Generative AI technologies, integrated within our cloud infrastructure, and aligned with strategic business needs.

Key Responsibilities:

• Independently develop GenAI-based applications tailored to product requirements.
• Implement scalable and high-performance AI solutions.
• Integrate AI applications with existing internal systems.
• Lead and collaborate with cross-functional teams to drive AI strategy and execution.

Qualifications

Required Qualifications:

• Proven experience in Machine Learning, Generative AI, or related fields.
• Strong leadership and communication skills.
• Advanced knowledge of integrating Generative AI into cloud infrastructures.
• Ability to design and implement AI strategies at scale.

Programming & AI Frameworks:

• Proficiency in Python and relevant ML libraries.
• Experience with LangChain, Semantic Kernel, Hugging Face Transformers.
• Familiarity with Apache Lucene/Solr/LuceneSearch.

Generative AI & LLMs:

• Experience building applications with LLMs on Microsoft Azure (GPT-4o, o3).
• Use of Azure OpenAI models (GPT-3.5 Turbo, GPT-4).
• Experience with Azure AI Services (genai-ltst, gpt-4o-mini-realtime-preview).
• OCR and Embedding tools (Azure Document Intelligence, text-embedding-s-small/b-large).

Cloud & DevOps:

• Strong experience with Microsoft Azure Cloud platform.
• CI/CD pipeline development using GitHub Actions.
• Containerization using Docker; Azure Container Registry is a plus.
• Infrastructure as Code using Terraform.
• Experience with Azure Key Vault and GitHub Actions Secrets.

Additional Information

• Hands-on experience with Azure Cognitive Search and Semantic Kernel.
• Experience deploying and maintaining scalable AI pipelines.
• Strong understanding of feedback loops and evaluation metrics in AI systems.