AI Engineer
Core
Building production-ready GenAI and agentic solutions to evolve Software Delivery Lifecycle (SDLC) workflows and improve engineering experience.
Role type
Senior IC AI Engineer (GenAI/Agentic Systems)
Builds
Cloud-native AI workflows, distributed multi-agent systems, and reusable GenAI platforms for DevOps teams.
Domain
Banking (ING) + Generative AI + Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, GenAI/LLM engineering, agentic frameworks, GitHub Copilot, Vertex AI, FastAPI, LangChain, Google ADK, RAG, vector databases, Terraform, CI/CD, REST/gRPC APIs, Docker, cloud-native patterns
Preferred skills
Kubernetes/OpenShift, LLM architecture/evaluation, enterprise LLMs, event-driven architecture, OpenAPI integration, open-source contributions
Technologies
GitHub Copilot, Vertex AI, FastAPI, LangChain, Google ADK, Terraform, Docker, Google Cloud Platform
Responsibilities
Develop GenAI solutions from concept to production; design intelligent cloud-native AI workflows and multi-agent systems; collaborate with SREs and engineers to translate problems into scalable solutions; improve AI agent quality via evaluation, testing, and monitoring; shape GenAI engineering standards and best practices
Seniority
Senior, hands-on IC