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