Ai Specialist
Pubblicato il 04-10-2026 - HCLTech in Italia
Job Title: AI/ML Engineer – LLM & RAG
Employment Type: Permanent, Full‑Time
We are seeking a Mid to Senior AI/ML Engineer to join a multidisciplinary team focused on building production-grade AI solutions centered on Large Language Models (LLMs). This role involves hands-on development of LLM fine-tuning and Retrieval-Augmented Generation (RAG) architectures, contributing to scalable and high-impact AI systems.
You will collaborate closely with engineers and data scientists to design, optimize, and deploy AI models, primarily supporting fraud prevention solutions within the telecommunications domain. Develop and deploy AI/ML solutions using Python
Design and implement LLM-based systems, including fine-tuning approaches (LoRA, PEFT)
Build and optimize RAG pipelines and vector-based retrieval systems
Collaborate on model evaluation, experimentation, and performance optimization
Contribute to scalable deployment and integration of AI components
Work closely with cross-functional teams in an agile environment
Strong Python skills for AI/ML development
Solid foundations in Machine Learning and AI
Experience with LLMs and fine-tuning techniques (LoRA, PEFT)
Hands-on experience with RAG and vector-based retrieval
Experience with AI/ML frameworks such as PyTorch, TensorFlow, Transformers, and LangChain
Advanced experience in LLM optimization or adaptation
Exposure to MLOps / AIOps (deployment, monitoring, lifecycle management)
Experience with cloud platforms or containerized environments
Background in fraud detection, anomaly detection, or complex data analytics
Bachelor’s or Master’s degree in Computer Science or a related technical field
Strong communication skills in English
HCLTech is a global technology company with over 226,000 employees across 60 countries. We deliver industry-leading capabilities in AI, digital, engineering, cloud, and software services. Our expertise spans multiple industries including Financial Services, Manufacturing, Healthcare, Telecom, and