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Linnify is a global technology partner that specializes in building scalable digital products through custom software and AI development. With over 80 digital products delivered across Europe and North America, we help visionary companies accelerate their digital development initiatives. We’re looking for an Senior AI Engineer to join our growing team. You’ll work on impactful projects, from SaaS platforms to AI-powered tools. If you're passionate about developing and deploying machine learning models and staying ahead of AI trends, this is the role for you. This is a hybrid position based in Cluj-Napoca, combining the flexibility of remote work with the energy of in-person collaboration.
Job Responsibility:
Design and implement AI solutions using foundational models (e.g., GPT, Claude, Mistral, LLaMA) tailored to business use cases
Build and deploy agentic architectures, including delegation, planning, routing, and multi-agent coordination
Integrate with agentic frameworks such as LangGraph, LangChain, or OpenAI Agents
Fine-tune foundation models using domain-specific datasets
Develop and maintain RAG (Retrieval-Augmented Generation) pipelines
Work closely with product and engineering teams to build prompt management layers and reusable orchestration flows
Apply best practices in reproducibility, versioning, and model lifecycle management
Optimize AI solutions for accuracy, latency, and performance in production environments
Requirements:
Minimum 4 years of hands-on experience in applied AI/ML roles, with a strong focus on LLM-based product development
Solid experience working with foundational models, prompt engineering, and prompt management workflows
Hands-on knowledge of agentic architectures, including chain of thought, task delegation, and planning/routing patterns
Familiarity with at least one agentic framework, such as LangGraph, LangChain, or OpenAI Agents
Proven experience in fine-tuning foundation models using custom datasets
Strong understanding of RAG pipelines, vector databases, and embedding models
Proficient in Python, with experience using LangChain-related tooling
Excellent collaboration and communication skills
Ability to work autonomously and deliver high-quality, production-ready solutions
Nice to have:
Experience building evaluation pipelines to test and improve model output
Familiarity with Prompt Guards or other prompt validation tools
Experience with OCR flows and structured data extraction from unstructured sources
Exposure to knowledge retrieval and parsing in complex enterprise environments
What we offer:
Flexible work schedule and remote work days
Additional loyalty vacation days (up to 28 total vacation days based on experience and time with us)
Health package via Regina Maria Clinic
Meal tickets (40 RON/day)
Discounted gym subscription
ESOP (Employee Stock Ownership Plan) so that you grow with us
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