Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 4
Agentic AI @ 3
Asynchronous Programming @ 4
GCP @ 6
GenAI
LLM
LangChain @ 4
Microservices @ 4
Observability @ 4
Python @ 7
RAG
Vector Databases
gRPC @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Responsibilities
- Design, build and scale agentic AI solutions from concept to production.
- Develop and maintain multi-agent frameworks and orchestrate interactions between agents.
- Collaborate closely with data scientists, product owners and domain experts in a newly formed squad.
- Ensure solutions are robust, scalable and production-ready, following software engineering best practices.
Requirements
- You have strong Python skills and a solid software engineering background.
- You have experience building microservices and APIs (REST / gRPC), including asynchronous programming.
- You design and build distributed, cloud-based systems, preferably on GCP.
- You are familiar with LLMs and agentic AI concepts, including multi-agent systems and orchestration frameworks.
Extra points
- Hands-on experience with agentic frameworks such as ADK, LangChain, LangGraph or CrewAI.
- Practical work with LLMs, RAG systems and vector databases (e.g. Gemini, Claude).
- Experience with production-grade deployments, observability or event-driven architectures.
Squad information
ING Analytics is building high-scale GenAI solutions to unload and automate business process workloads.
The role naming convention in the global ING job architecture will be "Engineer III" or "Engineer IV" depending on your experience.
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