AI Developer

Company Description

Organization

Our Mission Statement

Digital and human resources at the center of the sustainable development of our society.

In a world of continuous transformation, accelerated by technological developments and societal challenges, it is necessary to adapt in an ongoing, agile way to meet the challenges of the future.

About Inetum

Inetum is a European leader in digital services. Inetum’s team of 27,000 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 2.4 billion euros in 2024.

For further information, please visit www.inetum.com

Job Description

Design and develop AI automations to improve our ways of working and support as part of our program.

Qualifications

Core AI Orchestration & Frameworks

• Agentic Frameworks: Practical experience with any of Microsoft Agent Framework (preferred) and/or LangChain, LangGraph, CrewAI, Agno, Google ADK, AutoGen, github copilot,
• SDKs: Familiarity with the Google AI SDK, Microsoft Agent Framework
• Models: Understanding model architecture, parameters, capabilities, configuration experience.
• Tooling: Experience working with MCPs (Model Context Protocol) and integrating external tools into LLM workflows. Experience with "Skills" would also be desired
  
  

RAG & Information Retrieval

• Understanding of RAG (Retrieval-Augmented Generation) pipelines.
• Knowledge of retrieval methods: Vector search, FTS (Full-Text Search), and BM25.
• Experience with text chunkers and data preprocessing for embeddings.
  
  

Other Desired Skills/areas Of Proficiency

• AI UX: Experience with LibreChat / OpenWebUI / AnythingLLM
• DevOps/CI/CD: Proficiency with Docker, GitHub, and Jenkins for automation and environment management.
• LLM Serving: Basic knowledge of llama.cpp / vLLM / SGLang / ik_llama for local inference
• Languages: Java, Groovy
• Data formats: JSON, XML, YAML
• API: OpenAPI, AsyncAPI, REST, OData
  
  

Benefits

Additional Information

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and trainings to sustain your growth
• Medical insurance
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings