
at ING Bank
OtherPosted 10 days ago
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**Senior AI Engineer - Agentic AI @ COOA** Drive Agentic AI development, from concept to production. Collaborate with data scientists and product owners to build multi-agent frameworks. Ensure robust, scalable AI capabilities integrated within the bank for real business impact. **Responsibilities:** - Develop and scale distributed agentic AI solutions - Collaborate with data scientists and product owners - Ensure robust and scalable AI capabilities **Requirements:** - Python programming proficiency - Experience with Microservices, REST/gRPC APIs, async programming - Experience designing distributed software with cloud-based managed services (preferably GCP) - Deployment and provisioning automation tools (Docker, Kubernetes, CI/CD) - Basic networking knowledge and basic understanding of Infrastructure-as-Code (Terraform) - Familiarity with neural networks, model training/testing, and LLM architectures - Experience with agentic frameworks (ADK, LangChain, LangGraph, CrewAI) - Practical experience with LLMs, RAG systems, and vector databases **Nice to have:** Production-ready software engineering mindset, Java/Kotlin for ING internal systems, GCP and event-driven architecture skills, OpenAPI integration and governance, cloud solutions incorporating Generative AI and LLM technologies. **Offer:** Dynamic international environment, individual development, comprehensive courses, hybrid working, pension scheme, holiday payment, 13th month salary, and more.
- Compensation
- Not specified
- City
- Amsterdam
- Country
- Netherlands
Currency: Not specified
Full Job Description
Think Forward! Our goal is to help people advance inlifeand business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you.
What department?
The Analytics Engineering Center of Excellence team, with over100 members and expanding, aims to make ING data-driven byleveragingData and Analyticsto deliver impactful solutions. We foster a collaborative and creative work environment focused on supporting our people and projects.
Role description
As anAI Engineer, youare passionate about working withmodern software engineering practices and Agentic AI, and ready todrive the development and scaling of distributed agentic AI solutions, fromconcept to production.In this newly set-up team, you will work closely with data scientists and product owners,tobuildmultiagent frameworksand toorchestrate interactions between agents.Your work will ensure robust,scalable AIcapabilities thatare integrated within the bank todeliverreal businessimpact.
Do you recognize yourself in this profile:
Python programmingproficiency.
Experience with Microservices, REST/gRPCAPIs,asyncprogramming.
Experiencewithdesigning distributed software with cloud-based managed services (preferably GCP).
Deployment and provisioning automation toolse.g.Docker, Kubernetes,Openshift, CI/CD.
Basic networking knowledge.
Basic understanding ofInfrastructure-as-Code(Terraform).
Familiarity with concepts such as neural networks, model training/testing,LLMarchitectures.
Familiarity with agentic frameworks (ADK,LangChain,LangGraph,CrewAI) anddesignof multi-agent systems.
Practical experience withLLMs(Gemini,Claudeetc.), RAGsystems,andvectorDBs.
Proficiencyofsoftware engineeringbestpractices including version control, testing, documentation, and code review.
Collaborating withSMEs(datascienstis, data analysts, product owner)in a newly set-up team.
Nice to have (but Not Required):Even if youdon'tmeet every requirement, we encourage you to apply. Experience in these areas is a bonus:
Production-ready, software engineering mindset. We are setting up our teams from scratch and prefer candidates who have built modern applications fromscratch, andensured itreachedproduction environments.
Basic understanding of Java/Kotlin for connectivity to ING internal systems.
Background in monitoring and observability with tools likeGoogleCloudTrace,LangSmith,Langfuse,PhoenixArize.
Involvement in the implementation and deployment of cloud solutions incorporating Generative AI and LLM technologies.
Experience in developing andmaintaininghigh load APIs, andOpenAPIintegration and governance.
Strong GCP and event-driven architecture skills.
Contribution to open-source projects is consideredadvantageous.
What do we offer?
Employment at ING ischaracterisedby a dynamic and international environment. The individual development of employees is a priority, supported by comprehensive courses andprogrammes. As part of the ING Analytics Engineering team, you will collaborate within a cross-functional group responsible for end-to-end delivery and ownership, contributing in an Agile manner throughout the application lifecycle. ING values open-minded individuals to drive creativity and innovation. We encourage applicants from all backgrounds and are committed to a diverse, inclusive team.In addition, we offer:
Rewards and benefits
We want to make sure that its possible for you to strike the right balance between your career and your private life. https://careers.ing.com/en/benefits-NL (opens in new window)
The benefits of working with us at ING include:
25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward? https://careers.ing.com/en/working-in-the-netherlands (opens in new window)
Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the Apply button.
This position was published for the first time on 23 March 2026




