AI Engineer Intern

Responsibilities

• End-to-end AI system development: Design, develop, and deploy artificial intelligence systems from prototype to production
• Agentic architecture implementation: Build multi-agent systems using agent architectural patterns
• Prompt engineering and optimization: Develop effective prompts for generative models to ensure consistent performance across different model families
• RAG systems: Implement and optimize semantic search and retrieval-augmented generation systems for enterprise applications
• Evaluation and testing: Develop robust evaluation frameworks to measure the performance, reliability, and alignment of AI agents

Requirements

• Programming languages: Proficiency in Python and/or TypeScript for AI application development
• Frameworks and tools: Experience with LangChain, LangGraph, Copilot SDK, ADK, or other frameworks for building autonomous agents
• Models and architectures: Understanding of transformers, fine-tuning techniques (LoRA, QLoRA, DPO), and multimodal models
• Vector databases: Implementation and management of embedding and retrieval systems using databases
• Language skills: For specific projects, language expertise may be required to work with domain-specific or localized inputs
• Ethics and compliance: Implement ethical guardrails and explainability features to ensure responsible AI deployment
• Bias mitigation: Identify and mitigate biases in data and algorithms to ensure fairness and transparency
• Privacy and security: Protect data throughout the AI lifecycle and ensure system integrity
• MLOps and deployment (nice-to-have): Experience with machine learning operations, including monitoring, versioning, and secure deployment in enterprise environments
• Development environment: Proficiency with Git, virtual environments, environment variables, and application deployment
• Other Skills
• Advocacy for responsible AI
• Production-ready mindset
• Cross-functional collaboration
• Team-oriented
• Adaptable and open-minded
• A curious, innovative, and energetic attitude toward technology and learning.
• Strong analytical and problem-solving abilities.
• Trustworthy and reliable.
• Working conditions: Full Time
• Duration: 6/12 Months
• Location: Milan (hybrid)
• About ING
• #doyourthing is our brand direction with us each and every day. It is how we articulate our purpose and our promise to make banking frictionless to the world.
• 'do your thing' is about people being free to live the life they want to live, knowing that they will make their world a little better for it.
• Do you think you are "a step ahead"? Apply now!
• The benefits of joining ING
• In addition to being a part of a great team, working in a fun and innovative environment, we offer:
• Super flexible smart working
• Competitive base salaries and performance based bonuses
• Diverse cultures & Innovative mindsets
• International Environment
• Commitment to sustainability
• Lots of training development opportunities to help you grow
• Lots of moments dedicated to physical and mental well-being
• A special day off when it is your birthday: we call it #doyourbirthday!
• And of course we can't forget: free water & coffee at the office!
• Our Commitment
• Diversity is a fundamental element of our corporate culture, and we are fully committed to creating a safe and inclusive environment, based on mutual respect and the value of diversity, offering equal job opportunities to all qualified candidates.
• Job Application Safety Reminder ⚠️
• We're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guide

Benefits

Additional Information

In ING valorizziamo e supportiamo i nostri dipendenti prima di reclutare talenti esterni. Se ritieni che questo posto vacante sia il giusto step successivo nella tua carriera in ING, ti invitiamo a candidarti. Se hai domande sul posto vacante o hai bisogno di saperne di più prima di ritenere di poterti candidare. Non esitare a contattare il recruiter responsabile. An AI Engineer is a technical professional specialized in the design, development, and deployment of artificial intelligence systems in production, leveraging advanced skills in software engineering, large language models, and other cutting-edge technologies. They also play a key role in assessing the ethical impact of their solutions, ensuring that AI systems are developed responsibly, transparently, and in compliance with privacy and security regulations.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at ing? Share your experience