Job Title: AI/ML Engineer – LLM & RAG
Location: Italy
Employment Type: Permanent, Full‑Time

Role Summary

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. The position offers increasing ownership of technical and architectural decisions.

Key Responsibilities
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
Manage datasets, experiment tracking, and evaluation pipelines




Contribute to scalable deployment and integration of AI components
Work closely with cross-functional teams in an agile environment

Primary Skill
~ Strong Python skills for AI/ML development

Secondary Skills
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
Ability to manage datasets, experiments, and evaluation workflows

Additional / Preferred Skills
Advanced experience in LLM optimization or adaptation
Exposure to MLOps / AIOps (deployment, monitoring, lifecycle management)
Experience with cloud platforms or containerized environments
Knowledge of graph analytics
Background in fraud detection, anomaly detection, or complex data analytics

Qualifications
Bachelor’s or Master’s degree in Computer S

📌 AI Engineer (Italia)
🏢 HCLTech
📍 Italia