The Gen AI Engineer will design, build, and deploy AI-powered solutions, working with LLMs and integrating various AI frameworks. Responsibilities include developing backend services, prompt engineering, and collaborating with stakeholders.
Role Overview
RequirementsProgramming
Benefits
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.
RequirementsProgramming
- Strong proficiency in Python
- Experience developing scalable backend services and AI integrations
- 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
- Experience with Microsoft Agent Framework, LangChain, Promptflow, or similar frameworks
- Knowledge of AI orchestration pipelines and agent-based architectures
- Understanding of LLM lifecycle management
- Experience monitoring, evaluating, and optimizing Gen AI applications
- Familiarity with model versioning, experimentation, and deployment processes
- 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
- 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
Benefits
- 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
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