Job Description
Overview
We are seeking a highly skilled Generative AI Engineer with deep hands-on experience in building, fine-tuning, evaluating, and deploying advanced language-model and agentic systems. The ideal candidate has strong technical expertise across LLM training paradigms, retrieval-augmented pipelines, agent frameworks, and AI safety evaluation.
Key Responsibilities
- Design, implement, and optimize LLM fine-tuning pipelines including LoRA, QLoRA, Supervised Fine-Tuning (SFT), and RLHF.
- Build and maintain RAG (Retrieval-Augmented Generation) systems using frameworks such as LangChain, LlamaIndex, and custom retrieval layers.
- Develop, integrate, and extend applications using Model Context Protocol (MCP).
- Architect and deploy agentic workflows using frameworks like OpenAI Swarm, CrewAI, AutoGen, or custom agent syste...
Apply for this Position
Ready to join TAC Security? Click the button below to submit your application.
Submit Application