Role Summary

Design, develop, and deploy Generative AI solutions—including RAG applications, AI agents, and LLM-based systems—for domain teams, while enabling and guiding the definition of best practices and architectural standards.

Job Details

• Department: Technology / IT – AI & Digital Architecture
• Reporting to: AI and ODA Assistant Director

Key Responsibilities

• Design and deliver production-ready RAG applications and agentic workflows using GenAI orchestration frameworks (LangChain, LangGraph, Haystack, or equivalent) and Model Context Protocol (MCP)
• Advise on model selection (open vs proprietary), cost–performance trade-offs, and scalability strategies
• Fine-tune open-source LLMs (Llama, Mistral, Qwen, or equivalent) for domain-specific and cross-domain use cases
• Deploy and optimize LLM inference using model serving frameworks (vLLM, TGI, TensorRT-LLM, or equivalent) on GPU infrastructure
• Implement prompt engineering strategies and evaluation frameworks using monitoring tools (Langfuse, Opik, Phoenix, or equivalent)
• Deliver GenAI solutions as XaaS for domain teams without AI expertise
• Mentor and facilitate domain teams adopting GenAI technologies and enabling capability-building initiatives
• Contribute reusable GenAI components to Group Hub repository
• Continuously assess emerging GenAI technologies and provide strategic recommendations
• Monitor and mitigate hallucinations and model performance issues

Requirements

• Bachelor's/Engineering degree in Computer Science, AI, or related field
• Proven experience in software development and GenAI/LLM applications
• Expert-level proficiency in Python development and GenAI orchestration frameworks (LangChain, Haystack, LlamaIndex, or equivalent)
• Hands-on experience fine-tuning LLMs and implementing RAG architectures
• Strong advisory skills with the ability to influence technical decisions at senior levels
• Proficiency with vector databases (Milvus, Qdrant, Weaviate, or equivalent) and embedding models
• Experience with Model Context Protocol (MCP) or similar agentic AI design patterns and tool-use frameworks
• Knowledge of LLM serving frameworks (vLLM, TGI, or equivalent), model optimization, and GPU acceleration
• Familiarity with MLOps platforms (MLflow or equivalent), GenAI evaluation/monitoring tools (Langfuse, Opik, or equivalent), and prompt engineering techniques
• Solid understanding of transformer architectures and attention mechanisms
• Strong problem-solving skills and ability to translate business requirements into AI solutions
• Proven track record of defining and executing AI/ML strategies at organizational scale
• Excellent communication skills to explain complex AI concepts to non-technical stakeholders
• Experience working in Agile/DevOps environments

Nice to have

• Experience with Telco AI use cases (smart care, CVM, network optimization)
• Knowledge of Azure OpenAI, GCP Vertex AI, or similar cloud LLM services
• Contributions to open-source GenAI projects
• Experience advising on AI risk management, compliance, and responsible AI frameworks

Why join Ooredoo Tunisia

• Be part of the leading mobile operator in Tunisia
• Take on a varied and stimulating role in a multinational and innovative company
• Develop your knowledge and skills in cutting-edge technologies
• Join an inspiring and collaborative team that supports your growth
• Attractive compensation. Transportation provided

Our values

Caring, Connecting & Challenging. If you see yourself in these values, bring your positive energy and join us.