Pubblicato su stage4eu il: 11/06/2025 Ecovadis, AI-Powered Product Engineering Intern
Ecovadis
Barcelona, Spagna
Informatica/ICT
6 mesi
Retribuito + benefit
Attività:
- Actively participating in the design, development, and testing of GenAI prototypes and proof-of-concepts within the AI Innovation Lab.
- Working hands-on with foundation models (LLMs, multimodal models) and AI engineering frameworks such as Langchain, Haystack, LlamaIndex, or similar to build application logic.
- Collaborating closely with a small, multi-disciplinary squad to rapidly iterate on ideas and deliver end-to-end functional prototypes.
- Researching emerging AI tools, model capabilities, and innovative techniques relevant to lab projects.
- Helping to document experiments, findings, prototype features, and setup guides.
- Bringing fresh perspectives and actively participating in a "build and learn fast" environment.
Requisiti principali:
- - Educational Background and Location: Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Data Science, or a related technical discipline, and must be based in or able to relocate to Barcelona for the internship.
- Core Technical Skills: Strong programming skills, a solid understanding of software development fundamentals, and a keen interest in AI Engineering principles (including foundation models, prompt engineering, RAG, or AI Agents). Practical experience with AI engineering frameworks (like Langchain, Haystack, LlamaIndex) is a bonus.
- "Builder" Mindset and Learning Agility: Possess a "builder" mindset with excellent problem-solving abilities, an eagerness to learn quickly, experiment with new technologies, and work hands-on.
- Collaboration and Communication: Ability to work collaboratively in a small, agile team, with excellent English communication skills (both written and verbal).
- Drive and Personality: An outgoing personality with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment.
- Practical Application and Project Experience: Full-stack development experience (front-end, back-end, API development) is a significant plus. Personal or academic projects involving building AI-powered applications are also advantageous.
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