AI Engineer
Core
Design, build, and operate production-grade distributed agentic AI systems and multi-agent architectures for a global banking network.
Role type
Senior IC Agentic AI Engineer
Builds
Cloud-native distributed AI systems, multi-agent orchestration platforms, and RAG pipelines for ING's international operations.
Domain
Financial Services / Artificial Intelligence / Distributed Systems
Deliverable
production ML models
Required skills
Python, Microservices, REST/gRPC APIs, Asynchronous programming, Distributed systems, Google Cloud Platform (Vertex AI, Cloud Run, Pub/Sub, BigQuery), Terraform, Docker, Kubernetes, OpenShift, CI/CD, Neural networks, LLMs (Gemini, Claude), RAG systems, Vector databases, Multi-agent frameworks (LangChain, LangGraph, CrewAI, ADK), Software engineering fundamentals, LLM observability (Langfuse, Phoenix Arize, LangSmith, Ragas)
Preferred skills
Java, Kotlin, Event-driven architectures, OpenAPI governance, High-load APIs, Generative AI in enterprise, Banking/fintech experience
Technologies
Python, Google Cloud Platform, Vertex AI, Cloud Run, Pub/Sub, BigQuery, Terraform, Docker, Kubernetes, OpenShift, LangChain, LangGraph, CrewAI, ADK, Langfuse, Phoenix Arize, LangSmith, Ragas
Responsibilities
Design and build cloud-native distributed AI systems; Develop robust microservices and APIs; Design and implement multi-agent orchestration architectures; Implement tool-calling loops and agent handoff protocols; Design short-term and long-term memory mechanisms for agent systems; Build observable and traceable agent workflows; Operate and optimize RAG pipelines and vector-based retrieval systems
Seniority
Senior, hands-on IC