Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer | Glorium Technologies | Ukraine Project Description: We are looking for a skilled AI Engineer with experience in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic Architectures to join our innovative AI team. You will contribute to exciting AI projects, focusing on developing and optimizing advanced AI workflows. Requirements:- Bachelor’s degree in Computer Science, Machine Learning, AI, or a related field.- 4+ years of relevant experience with Generative AI, LLMs, and Machine Learning.- 3+ years of programming experience in Node.js.- Experience with cloud platforms like Azure, AWS, or GCP.- Hands-on experience with major AI platforms and APIs such as Azure AI, OpenAI API, AWS Bedrock, Google Vertex AI, Anthropic API, NVIDIA AI tools, and open-source LLMs and frameworks- Familiarity with search technologies (e.g., Elasticsearch) and vector databases (e.g., Chroma).- Knowledge of frameworks like LangChain, LangGraph, and LlamaIndex.- Experience developing RESTful APIs and microservices.- Practical experience implementing RAG workflows.- Ability to work with large-scale structured and unstructured datasets, including data ingestion, preprocessing, and optimization for AI workflows.- Familiarity with multi-agent frameworks (e.g., CrewAI, Autogen, Taskweave).- Strong skills in Prompt Engineering.- Understanding of vector databases and embedding models.- Experience with Git, CI/CD, unit testing, Docker, and Kubernetes.- Experience with code reviews and pull requests (PRs), promoting clean, maintainable code and collaborative development practices.- Awareness of AI ethics and responsible AI practices is a plus.-Good English communication skills (B2 or higher). Responsibilities: - Develop and improve AI-first products and intelligent workflows using Large Language - Models (LLMs), generative AI, and retrieval systems.- Work closely with other teams to gather project requirements and build core AI-powered solutions.- Research new advancements in generative AI, retrieval systems, and agentic architectures.- Create scalable systems to manage structured and unstructured data efficiently.- Document AI workflows clearly for both technical and non-technical stakeholders.- Promote best practices for developing, deploying, and evaluating AI models. Show more Show less