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Linnify is a global technology partner that helps visionary companies accelerate their digital development initiatives. With expertise in custom software and AI development, we’ve contributed to the creation of over 80 digital products across Europe and North America. We’re looking for an AI Engineer with a strong focus on Agentic AI and Generative AI to join our growing team. In this role, you’ll work on advanced projects involving multi-agent orchestration, fine-tuning foundation models, building robust RAG systems, and ensuring safe and scalable deployment of AI-powered features. This is a hybrid position based in Cluj-Napoca, offering the flexibility of remote work combined with the energy of in-person collaboration.
Job Responsibility:
Design, develop, and maintain agentic AI applications powered by LLMs in production environments
Build and iterate on single-agent and multi-agent architectures with planning, routing, tool use, and task delegation
Implement and maintain Retrieval-Augmented Generation (RAG) systems across various data domains
Fine-tune foundational models for domain-specific tasks and integrate them into real-world workflows
Establish evaluation pipelines to monitor and improve model outputs using structured testing frameworks
Develop and manage prompt engineering workflows, including version control, safety layers, and response guardrails
Build and optimize OCR and data extraction flows for unstructured and semi-structured inputs
Collaborate cross-functionally with engineers, product teams, and designers to deploy and monitor AI-driven features
Requirements:
Minimum 1 year of experience building agentic applications using large language models
Minimum 2 years of experience working with foundational models in production environments
Strong knowledge of prompt engineering, optimization techniques, and version control systems
Practical experience with LangChain or LangGraph (mandatory)
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS) in production
Proven ability to fine-tune LLMs for specific domains and integrate them into scalable workflows
Background in OCR or data extraction workflows using PDFs, images, or unstructured documents
Experience designing and enforcing prompt safety and guard mechanisms in deployed systems
Programming: Python (required)
LLM Tooling: LangChain or LangGraph (required)
Foundation Model Providers: OpenAI, Anthropic, Gemini, Mistral, HuggingFace
Vector Search Systems: Pinecone, Weaviate, Qdrant, FAISS, or similar tools
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