Generative AI Engineer
DeepRec.aiFull Description
You’ll be reimagining how enterprise systems work designing intelligent, autonomous solutions that operate at scale across real business environments.
Think:
* Context-aware AI agents
* Retrieval-augmented generation (RAG)
* Multi-agent orchestration
* Semantic search at enterprise scale
You’ll take ideas from concept → prototype → production, helping shape an AI ecosystem from the ground up.
What You’ll Be Doing
* Re-designing supply chain processes through an AI-first lens
* Building and prototyping LLM-powered and agent-based systems
* Developing capabilities like reasoning, planning, tool use, and memory
* Designing infrastructure for AI orchestration across services and APIs
* Partnering with engineering and platform teams to scale solutions in Azure
* Acting as an AI advocate, helping teams understand and adopt new capabilities
* Staying ahead of emerging frameworks, tools, and patterns in AI
What We’re Looking For
* Strong experience in AI/LLM system design (ideally agent-based or orchestrated systems)
* Hands-on coding skills (Python essential; C# or Java a plus)
* Experience with tools/frameworks like Semantic Kernel, LangGraph, AutoGen, N8N (or similar)
* Solid understanding of:
* RAG & semantic search
* Vector databases
* Tool calling & memory systems
* Multi-agent architectures
* Experience working in Azure environments is a plus
* A mindset that blends architecture thinking with hands-on building
Language Requirement
Fluent Hungarian and strong English are essential for this role, as you’ll collaborate closely with local teams and stakeholders.
Why This Role Stands Out
* Work on AI that actually gets used at scale, not just prototypes
* High level of ownership, autonomy, and creative freedom
* International, collaborative environment with strong engineering culture
* Real opportunity to shape AI strategy and architecture
* Hybrid setup: Budapest office (3 days/week onsite)