Gen AI Engineer

Role Overview INDICE is looking for a highly motivated Gen AI Engineer to join our growing team and help design, build, and deploy next-generation AI-powered solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and modern AI orchestration frameworks. You will work closely with product owners, architects, data engineers, and customer stakeholders to deliver scalable and production-ready AI applications. This role is primarily remote, with occasional meetings and workshops required at customer premises in Athens. Programming Strong proficiency in Python Experience developing scalable backend services and AI integrations Generative AI & LLMs Hands-on experience with prompt engineering and LLM model usage Experience integrating OpenAI APIs (Completions, Assistants) and similar AI services Understanding of Retrieval-Augmented Generation (RAG) architectures Experience integrating Azure AI Search or similar vector search technologies AI Frameworks & Tooling Experience with Microsoft Agent Framework, LangChain, Promptflow, or similar frameworks Knowledge of AI orchestration pipelines and agent-based architectures LLMOps Understanding of LLM lifecycle management Experience monitoring, evaluating, and optimizing Gen AI applications Familiarity with model versioning, experimentation, and deployment processes Additional Skills Experience with C#, Java, or React is considered a strong advantage Experience delivering traditional Machine Learning projects Understanding of supervised and unsupervised learning techniques Experience with model management and deployment pipelines Knowledge of data preprocessing, feature engineering, and dataset preparation Nice to Have Experience with Microsoft Azure or other cloud platforms Familiarity with cloud-native AI services Experience with Infrastructure as Code (IaC) Familiarity with CI/CD pipelines and automated deployments Understanding of Responsible AI principles, governance, and ethical AI practices Opportunity to work on cutting-edge Gen AI projects Flexible and mostly remote working model Exposure to enterprise-scale AI implementations Collaborative and innovation-driven environment Continuous learning and professional development opportunities Private Health insurance plan & personal equipment