Genai Engineer

RebelDot

Cluj, Romania
On-site
Python software engineering foundation
Production backend applications (fastapi, flask, django)
Genai frameworks (langchain, langgraph, adk, haystack)
Design and deliver reliable, production-ready agentic RAG systems by building integrations between agents, tools, and external systems

Job Summary

  • Design and deliver reliable, production-ready agentic RAG systems by building integrations between agents, tools, and external systems.
  • Own AI/ML components from prototyping through deployment, monitoring, and iteration, applying evaluation approaches for retrieval, generation, and agent behavior.
  • Support the team through code reviews, pair programming, and shared learning while staying close to industry developments and applying useful practices.

Matching Summary

Design and deliver reliable, production-ready agentic RAG systems by building integrations between agents, tools, and external systems.

Skills & Requirements

Must-have

  • Python software engineering foundation
  • Production backend applications (FastAPI, Flask, Django)
  • GenAI frameworks (LangChain, LangGraph, ADK, Haystack)
  • Commercial LLM APIs
  • RAG systems (embeddings, vector search)
  • Agentic systems and tool use
  • MLOps practices (CI/CD, experiment tracking)
  • Observable systems (logging, monitoring)

Nice-to-have

  • Evaluating agentic systems
  • Prompt and context engineering
  • Cloud infrastructure (AWS, Azure, GCP)
  • Databricks or Apache Spark
  • LLM observability tooling
  • Enterprise authentication and governance

Key Requirements

  • Production-grade backend experience
  • GenAI solutions in production
  • RAG systems experience
  • Agentic systems experience
  • MLOps practices experience
  • Observable systems experience
  • AI/ML work from exploration to production

Work Rights

Not specified

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