Stage de fin d'études / Ingénieur·e IA / Business Digital Transformation — Talan

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OUR AMBITION MARKET : AI IT MODERNIZED Artificial Intelligence redefines the paradigms of software development and information system management. At Talan Switzerland, our ambition is clear: AI catalyzes IT modernization

• Talan industrializes, secures and guarantees its quality.

We believe that the modernization of the Information System (IS) is the absolute prerequisite for it to become a true engine of business innovation. Our approach is based on rigorous engineering principles:

• Security & Pragmatism (Data Classification): We adapt the execution infrastructure to the required level of confidentiality, from the secure public cloud (Levels 1 & 2) to the Swiss sovereign cloud (Level 3), to the On-Premise / Air-Gapped (Level 4) execution for critical industrial secrets.
• Engineering & Determinism (Industrialization of SDLC): We use Spec-Driven Development (development driven by specifications) and proprietary agent accelerators to ensure a deterministic, documented and tested code (target of 80% test coverage).
• The right tool for the right data: we reject dogmatic discourses and select the technological solution perfectly suited to each customer's context.

YOUR MISSIONS: AT THE HEART OF AGENTIC REVOLUTION In order to support our growth and industrialize our offers, we are looking for a trainee who is passionate about applied AI to join our team in Geneva or Lausanne. Under the responsibility of our Business Line managers and IA architecture experts, you will contribute to the structuring of methods and assets to equip our internal processes and increase our customer offerings.

Your missions will focus on four strategic areas

1. Structuring of assets for our customers Development and industrialization of AI's accelerated transformation solutions:

• Increase in our legacy refactoring offerings: contribute to the modernization of the application core (e.g. Java, .NET, opaque historical code refactoring) by using Spec-Driven Development and standalone agent frameworks.
• Data & BI migration: participate in the automation of migration of data pipelines, decision-making reports and complex SQL schematics to modern platforms (Databricks, Snowflake), including by exploiting and enriching our proprietary Talan Reportimus accelerator.

1. Tools for our pre-sales process Intelligent tools for the performance and responsiveness of our commercial and pre-sales teams:

• Develop agent assistants for fast and automated analysis of customer specifications (RFP/RFI) and detection of key requirements.
• Create tools to support the writing of commercial proposals (generation of qualitative content, structuring of tailor-made offers, valuing our references and expertise).

1. Increased internal trades Experience innovative solutions to transform the daily lives of our employees:

• Deploy and test artificial workflows (such as our internal TA3SK framework) to equip our consultants and engineers on a daily basis (reports, project plans, technical documentation).
• Measure the impact of these tools on the speed, quality of deliverables and work/life balance of our teams.

1. Technological monitoring and dissemination of AI culture

• Implement active monitoring of the state of AI art, Context Engineering and agent protocols (e.g. Model Context Protocol – MCP).
• Conduct awareness and training workshops to familiarize our local teams with the use of these tools and accelerators.

Training

• You are in the final year (5th year / Master's degree) of an engineering school or university with IA orientation / computer science (EPFL type, EPFZ, Swiss high schools or equivalent) and you are looking for an agreed completion course (PFE).

Technical expertise

• Solid bases in software development (Python, JavaScript/TypeScript, etc.).
• Strong curiosity about AI, LLM, RAG architectures and agent frameworks (LangChain, LlamaIndex, MCP, etc.).
• Sensitivity to security, data confidentiality and sovereignty issues.

Personal suitability

• Autonomy & proactivity: ability to propose innovative solutions and conduct experiments.
• Rigor & Analysis: Ability to structure complex approaches and formalize feedback (REX).
• Collaborative spirit: a strong taste for multidisciplinary team work and knowledge sharing.
• Communication: excellent written and oral skills in French; A very good level of technical English is required.

Why should we join?

• Being at the heart of the artificial revolution: building AI assets that are actually reused on our customer offers, not disposable POCs.
• Work in a demanding engineering framework (Spec-Driven Development, 80% test coverage, data security & sovereignty).
• Be supervised by our Business Line managers and IA architectural experts.
• Competency on LLMs, autonomous agents, RAGs and emerging protocols (MCP).
• Join a group of 350+ experts in Geneva and Lausanne, in a fast growing group.

PRACTICAL MODALITIES

• Type of contract: Contracted completion period (PFE).
• Duration: about 6 months (according to academic calendar).
• Location: Geneva or Lausanne, hybrid format.
• Start: depending on availability.
• Remuneration: paid internship, according to current profile and grid.