AI & Data Engineer

Human and technology to scale sustainable performance

Founded in 1989, Scalian is a French group with an international dimension, with offices in Europe and North America, specializing in business transformation through its dual mastery of business processes and digital technologies.

In the TOP10 engineering consulting companies in France, the Group is involved in service activities in the management of industrial projects, supply chain (costs, quality, deadlines, performance), architecture and development of embedded digital systems, computer systems applications. Information and Artificial Intelligence.

Scalian also deploys solutions for optimizing projects or the performance of organizations and responds to the challenges of transformation for leaders in industry and the tertiary sector (energy, transport, space, banking, health, environment, etc.)

Are you an AI & Data Engineer looking for a new challenge?

If you want to expand your reach and share your knowledge with a team of professionals, contribute to the development of your colleagues' or Clients' skills, want to consolidate your expertise and grow on innovative projects, this is your opportunity!

What this experience will bring you

First of all, an interesting technical challenge but also an overview of our Client's projects.

We will build your career together and accompany you towards the development of new skills and technical leadership.

Soft skills

- Problem solving
- Good communication skills
- Goal-oriented approach
- Self-Driven
- Proactive to solution
- Teamwork

Languages

- Italian (Fluent)
- English (fluent, oral and written)

Responsibilities

Design and develop Generative AI and Agentic AI solutions, including multi-step workflows using LangGraph and LangChain.; Develop Advanced RAG and Document Processing pipelines for extracting and processing information from complex business documentation.; Integrate and orchestrate local/on-premise LLMs within internal infrastructure, ensuring secure and confidential data processing.; Design and develop ETL, data processing and Machine Learning solutions in Python, leveraging Pandas, NumPy and Scikit-learn.

Requirements

Minimum 3 - 5 years of professional experience in Generative AI, Machine Learning, data engineering, or a closely related field, with hands-on experience designing and implementing AI-driven solutions.; Generative AI & Agentic Workflows : proven experience in designing multi-step, stateful workflows using frameworks such as LangGraph and LangChain.; Advanced RAG & Document Processing : experience implementing hybrid RAG pipelines for the ingestion and extraction of unstructured data from complex documentation, including contract PDFs, tender specifications and technical commissioning reports.; Local LLM / On-Premise Integration : ability to orchestrate and integrate locally hosted/on-premise LLMs running on internal infrastructure, ensuring the confidentiality and security of sensitive contractual data.; ETL & Machine Learning (Python) : strong proficiency in advanced Python, including Pandas, NumPy and Scikit-learn, for processing and transforming heterogeneous data and developing predictive and quantitative models.