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About the Role
Join ING's global Analytics organization, developing intelligent systems using Generative AI, Large Language Models, and retrieval technologies in a regulated financial-services environment. This hands-on role focuses on architectural choices, reusable practices, knowledge sharing, and delivering measurable business value.
Responsibilities
- Design, build, and deploy AI agents and intelligent workflows powered by Large Language Models.
- Develop multi-agent solutions that interact with tools, APIs, databases, workflows, and business applications.
- Create Retrieval-Augmented Generation architectures using vector databases, embeddings, and retrieval-based patterns.
- Build context-aware AI solutions that combine business data, enterprise systems, and Large Language Models.
- Define technical standards, guide architectural decisions, and contribute to reusable Agentic AI practices across ING.
- Establish evaluation, monitoring, governance, reliability, and model-optimization approaches for production AI solutions.
- Collaborate across disciplines and countries, while mentoring Data Scientists and promoting knowledge sharing.
Requirements
- At least five years of experience in Data Science, Machine Learning, NLP, Generative AI, or a related discipline.
- A track record of building and deploying production-grade AI applications.
- Strong Python skills and production-ready software-engineering practices.
- Hands-on experience with LLM, Generative AI, NLP, or Agentic AI solutions, including modern prompting, evaluation, and model-optimization approaches.
- Practical experience designing RAG systems using vector databases, embeddings, and retrieval-based architectures.
- Experience integrating AI systems with APIs, tools, databases, workflows, and enterprise platforms.
- Clear communication and strong collaboration skills.
- Ability to mentor and coach Data Scientists and foster knowledge sharing.
Skills
- Generative AI
- Large Language Models
- Retrieval technologies
- Agentic workflows
- Python
- Vector databases
- Embeddings
- Retrieval-based patterns
- LangGraph
- LangChain
- Semantic Kernel
- CrewAI
- AutoGen
- Azure AI
- OpenAI APIs
- Vertex AI
- Workflow orchestration platforms
- Fine-tuning
- PEFT
- Distributed AI architectures
Location
- Global
Work Type
- Hybrid working
Experience Level
- Senior
- At least five years of experience
Education Level
- Relevant degree or equivalent expertise
Salary/Compensations
- 13th month salary
- 8% Holiday payment
Benefits
- 25-28 vacation days depending on contract
- Pension scheme
- Hybrid working
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues
About the Company
- ING empowers people and businesses to move forward.