End-of-studies Internship / AI / Data Engineer

• 24 July 2026 • 100% • Indefinite duration • Geneva End-of-studies Internship / AI / Data Engineer • Full-time • Contract Type: Internship Company Description Talan is an international consulting and technological expertise group, which supports and accelerates the digital transformation of its clients through the levers of technology, data, and innovation. For more than 20 years, Talan has advised and supported companies and public institutions in the definition and implementation of their transformation and innovation projects in Switzerland and internationally. Present on 5 continents in 21 countries, the Group, certified Great Place To Work, has more than 7000 employees. Equipped with a Research and Innovation Center, Talan puts innovation at the heart of its development and intervenes in the fields of technological changes such as Artificial Intelligence, Data Intelligence, Blockchain, to serve the growth of large groups and ETIs in a committed and responsible approach. By placing -Positive Innovation- at the heart of its strategy, Talan is convinced that it is by serving humanity that technology amplifies its impact on society as a whole. TalanSuisse # Job Description INTERNSHIP CONTEXT: Within the Data & AI Business Line of Talan, you will join a team that designs, prototypes, and industrializes Artificial Intelligence solutions (from generative AI to agentic systems) in service of our clients and our own products (LLMs via Azure AI Foundry, next-generation data and BI platforms: Power BI, Microsoft Fabric-). Depending on current projects and your profile, you will be able to contribute to various subjects related to AI: generative AI applications, AI agents, LLM integration, data/BI process automation, POCs for our clients or our internal accelerators. One of our flagship projects, for example, is an agentic Migration Factory that automates the migration of legacy BI platforms (Tableau, Cognos, MicroStrategy-) to modern platforms. YOUR MISSIONS: Supervised by the experts of the Data & AI Business Line, you will intervene (depending on projects) on three complementary axes: 1. Design and develop AI solutions: • Develop components, prototypes and POCs around generative AI and LLMs (prompting, agent orchestration, RAG). • Design connectors, parsers and pipelines to integrate various data, tools and use cases (e.g. BI/data sources, APIs, cloud platforms). • Extend the capabilities of our solutions to support new environments, technologies and Data & BI platform artefacts. 2. Secure AI and strengthen code quality: • Improve the design of AI agents and chains (prompting, orchestration, task decomposition, context management) to secure AI-assisted steps. • Strengthen automatic validation, non-regression tests and the level of confidence produced by our solutions. • Refactor existing code and improve test coverage, typing, modularity and CI/CD practices. 3. Explore, benchmark and capitalize: • Benchmark LLM models (accuracy, cost, execution time) and prototype recent agentic approaches. • Document the architecture of solutions and capitalize on reusable patterns for the benefit of other projects. • Measure the impact of your contributions on real use cases. Qualifications Education: • You are in your final year (5th year / Master's) of an engineering school or university with an AI / computer science orientation (type EPFL, EPFZ, Swiss higher education institutions or equivalent) and you are looking for a formal end-of-studies internship (PFE). Technical skills: • Solid foundations in Python and software engineering: typing, automated tests, Git, CI/CD best practices. • Knowledge in generative AI / LLMs (prompting, agent orchestration, RAG); experience with Azure OpenAI / Azure AI Foundry is a plus. • Foundations in data science / machine learning and a taste for experimentation (model evaluation, rapid prototyping). • Curiosity or first experience with the Data & BI ecosystem (Power BI, Microsoft Fabric, SQL, dbt, Snowflake, Databricks-). • Fluent French and technical English (reading documentation and code). Expected qualities: • Engineering rigor: taste for clean, tested and documented code. • Autonomy and proactive mindset. • Curiosity for the state of the art in AI (agents, LLMs, new models). • Team spirit and good communication skills, written and oral. • Impact-oriented pragmatism: ability to transform an experimentation into a reliable and measurable result. Additional Information WHY JOIN US? • Contribute to real and innovative AI projects (generative AI, agents, LLMs) on various client use cases. • Develop skills in applied GenAI within a demanding software engineering framework (Azure AI Foundry, MLOps, CI/CD). • Be supervised by Data & AI experts and benefit from real knowledge sharing. • Measure the tangible impact of your work on concrete and diversified projects. • Evolve within a fast-growing group, with real prospects for continuation following the internship PRACTICAL DETAILS • Contract type: formal end-of-studies internship (PFE). • Duration: approximately 6 months (depending on academic calendar). • Location: Geneva or Lausanne, hybrid format. • Start: according to availability. • Remuneration: paid internship, according to profile and current scale. 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