Senior AI Engineer- Romania

We are looking for an experienced Senior AI Engineer to design, develop, and implement advanced Artificial Intelligence solutions, including Generative AI applications, Large Language Models (LLMs), and intelligent automation systems.The ideal candidate has a strong background in software engineering, machine learning, and AI technologies, with hands-on experience building and deploying scalable AI-powered solutions. You will work closely with cross-functional teams to transform business requirements into innovative AI applications.Key ResponsibilitiesDesign, develop, and deploy AI-powered applications and intelligent automation solutions.Build and optimize Generative AI solutions using Large Language Models (LLMs).Develop Retrieval-Augmented Generation (RAG) architectures and integrate AI models with enterprise data sources.Implement AI agents and multi-agent systems to automate complex workflows and business processes.Integrate LLMs and AI services into existing applications through APIs and backend services.Work with prompt engineering techniques to improve model performance, accuracy, and reliability.Evaluate, test, and optimize AI models and solutions, addressing issues such as hallucinations, latency, and response quality.Develop scalable and maintainable AI architectures using cloud-native technologies.Collaborate with software engineers, data scientists, architects, and business stakeholders.Ensure AI solutions follow security, privacy, governance, and Responsible AI principles.Monitor deployed AI applications and continuously improve their performance and reliability.Stay up to date with emerging AI technologies, frameworks, and industry best practices.Required Skills & Experience5+ years of experience in software engineering, AI engineering, or a related technical field.Strong programming skills in Python.Hands-on experience with Generative AI and Large Language Models (LLMs).Experience working with LLM frameworks and libraries such as LangChain or LangGraph.Practical experience designing and implementing RAG solutions.Knowledge of vector databases and vector search technologies.Experience with prompt engineering, embeddings, and semantic search.Understanding of AI agents, tool calling, and multi-agent architectures.Experience integrating AI models through REST APIs and backend services.Knowledge of machine learning concepts and model evaluation techniques.Experience with Git, Docker, and software development best practices.Good understanding of cloud platforms such as AWS, Azure, or Google Cloud.Strong analytical, problem-solving, and communication skills.Nice to HaveExperience with OpenAI API, Azure OpenAI, Anthropic Claude, or other LLM providers.Familiarity with OpenAI Agents SDK, Model Context Protocol (MCP), or similar agent integration technologies.Experience with frameworks such as LangGraph, LlamaIndex, or Semantic Kernel.Knowledge of AI evaluation frameworks and techniques for detecting hallucinations and measuring response quality.Experience with MLOps, LLMOps, and AI deployment pipelines.Familiarity with Kubernetes and CI/CD pipelines.Experience with observability and monitoring tools for AI applications.Knowledge of data engineering concepts and distributed systems.