Senior AI Engineer- Romania

We are looking for a Senior AI Engineer to design, develop, and deploy advanced Artificial Intelligence solutions in a production environment. The role combines strong software engineering skills with expertise in Machine Learning, Generative AI, Large Language Models (LLMs), and AI-powered applications. The ideal candidate has hands-on experience building scalable AI solutions, taking models and prototypes from experimentation through production, and working closely with data scientists, software engineers, product teams, and business stakeholders. Key Responsibilities - Design, develop, and implement scalable AI and Machine Learning solutions for real-world business use cases. - Develop and integrate Generative AI and LLM-based applications. - Build AI-powered solutions using techniques such as RAG, prompt engineering, embeddings, vector search, and agentic workflows. - Evaluate and select appropriate AI/ML models, frameworks, and technologies based on business and technical requirements. - Develop production-ready AI services and integrate them with existing applications and enterprise systems. - Design and implement data pipelines and preprocessing workflows required for AI/ML applications. - Fine-tune and optimize machine learning and language models where appropriate. - Implement model evaluation frameworks and monitor model performance, accuracy, latency, and reliability. - Develop mechanisms to address AI-specific risks such as hallucinations, bias, data leakage, and model drift. - Work with vector databases and search technologies to support semantic search and Retrieval-Augmented Generation solutions. - Build APIs and services that expose AI capabilities to other applications and platforms. - Collaborate with Data Scientists, Software Engineers, DevOps Engineers, Product Owners, and business stakeholders. - Contribute to architecture decisions and establish best practices for AI development and deployment. - Support the deployment, monitoring, maintenance, and continuous improvement of AI solutions in production. - Ensure AI solutions meet security, privacy, scalability, and compliance requirements. - Stay up to date with the latest developments in Generative AI, LLMs, AI agents, and Machine Learning technologies. Must-Have Skills & Experience - 5+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, or a related field. - Strong programming skills in Python. - Solid understanding of Machine Learning and Artificial Intelligence concepts. - Hands-on experience developing and deploying AI/ML solutions in production. - Strong experience with Generative AI and Large Language Models (LLMs). - Practical experience with RAG architectures, embeddings, vector search, and semantic search. - Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar. - Experience working with AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn. - Experience with REST APIs, microservices, and cloud-based architectures. - Good understanding of data processing, feature engineering, and model evaluation. - Experience with Git and CI/CD practices. - Strong understanding of software engineering principles, clean code, testing, and design patterns. - Experience with at least one major cloud platform: Azure, AWS, or GCP. - Strong analytical and problem-solving skills. - Good English communication skills. Nice-to-Have / Advantages - Experience with AI Agents and Agentic AI architectures. - Experience with Microsoft Azure OpenAI, AWS Bedrock, or Google Vertex AI. - Experience with OpenAI, Anthropic, Gemini, Llama, or other foundation models. - Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search. - Experience with MLOps / LLMOps practices. - Knowledge of model serving and inference technologies. - Experience with Docker and Kubernetes. - Experience building AI solutions using MCP (Model Context Protocol). - Knowledge of AI evaluation and observability frameworks. - Experience with prompt evaluation, guardrails, and responsible AI practices. - Experience with SQL and NoSQL databases. - Knowledge of distributed systems and event-driven architectures. - Experience working with sensitive or regulated data. - Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - Relevant AI/ML or cloud certifications. Soft Skills - Strong ownership and ability to work independently. - Excellent analytical and problem-solving skills. - Strong communication and collaboration abilities. - Ability to translate complex AI concepts into practical business solutions. - Proactive approach to identifying opportunities for AI-driven improvements. - Strong attention to quality, scalability, security, and maintainability.