LLM & Generative AI Engineer

Are you an AI Engineer expert in Large Language Models and Generative AI? Join Reply WHO WE ARE Reply is a network of highly specialized companies which support leading industrial groups in defining and developing business models using new technology and communication paradigms, such as Big Data, Cloud Computing, Digital Communication, Internet of Things, Mobile and Social Networking. Reply focuses on Consultancy, System Integration and Application Management, covering three areas of competence: Processes, Applications and Technologies. WHAT YOU WILL FIND
• Core activities. . You will design, build, and industrialize enterprise-grade Generative AI solutions based on Large Language Models, with a strong focus on the Mistral ecosystem. You will fine-tune and optimize LLMs using techniques such as LoRA and QLoRA, ensuring efficient performance in terms of latency, throughput, and memory usage. You will develop end-to-end GenAI pipelines, from experimentation to production deployment across cloud and on-prem environments. You will also contribute to monitoring, scaling, and continuously improving model performance in real-world enterprise use cases.
• Tech & tools stack. You will work primarily with Python and Large Language Models, leveraging the Mistral AI ecosystem. You will use fine-tuning and optimization techniques such as LoRA, QLoRA, and quantization. You will work with cloud platforms including AWS, Azure, and GCP, and apply MLOps practices for deploying and maintaining production systems. You may also use tools and frameworks for distributed systems, containerization, and API development, including Java and Spring Boot in some contexts.
• Mentoring, collaboration, and continuous growth. You will join a cross-functional team of AI engineers, software engineers, and cloud specialists working on cutting-edge Generative AI solutions for enterprise clients. You will collaborate closely with architects, data scientists, and business stakeholders to translate requirements into scalable AI systems. You will work in an environment that values experimentation, engineering excellence, and rapid iteration, with a strong focus on delivering production-ready and secure AI solutions.

WHAT WE OFFER
• An offer tailored to your experience. This position is open to people with varying levels of expertise and seniority. The compensation package will be determined based on your professional background, technical skills, expertise, and the level of responsibility associated with the role. The collective labour agreement (CCNL) mainly applied within Reply is the Italian Metalworking Industry Agreement (Metalmeccanico). The job classification will be assessed starting from level B2, and the gross annual salary (RAL) will range from €36,000 to €49,000. Previous experience with cutting-edge technologies such as Quantum Computing, Physical AI, Agentic AI, Foundation Model and LLM training, fine-tuning, and optimization will be considered a strong asset.
• A structured career path. Our Career Path offers opportunities to grow both as a technical specialist and as a future leader. Your ambitions, the skills you develop, and the results you achieve will shape your professional journey.
• Continuous learning. Technology evolves rapidly
- and so do we. You will join an environment that encourages curiosity, continuous learning, and the exploration of new ideas and emerging technologies.
• The benefits of being a Replyer. You will also have access to the benefits and initiatives dedicated to our community. WHAT WE NEED
• Academic background. Bachelor's or Master's degree in Computer Science or Computer Engineering.
• Technical & strategic skills. You have at least 3 years of experience in backend development and system integration, with exposure to scalable digital solutions. You have experience with Python and Large Language Models, going beyond simple usage into real implementation and production scenarios. You are familiar with fine-tuning techniques such as LoRA and QLoRA, as well as model optimization strategies including quantization, VRAM reduction, and latency/throughput tuning. You have experience building end-to-end GenAI pipelines and deploying ML/LLM solutions in production environments. You are familiar with vector databases, retrieval-augmented generation (RAG), and agent-based systems. You are comfortable working with cloud platforms such as AWS, Azure, or GCP and understand distributed and cloud-native architectures. Knowledge of Java and Spring Boot is appreciated.
• Soft skills. You have strong problem-solving skills and a pragmatic mindset when dealing with complex AI systems. You are able to communicate technical concepts clearly to both technical and non-technical stakeholders. You demonstrate ownership and accountability in delivering production-ready solutions. You are proactive, curious, and comfortable working in fast-evolving environments where experimentation and iteration are key.
• Nice to have. Experience with the Mistral AI ecosystem or other open-source LLM stacks. Exposure to MLOps tools and practices (e.g. model monitoring, CI/CD for ML, orchestration frameworks). Understanding of GPU optimization and inference acceleration frameworks. Previous experience in enterprise or consulting environments. WHAT ARE THE NEXT STEPS The first step of our recruiting process will be the meetings with the technical referents and then a face to face interview with the HR team. Feel interested? Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of age, gender, sexual orientation, religion, nationality or disabilities as protected by Italian Law (L.68/99). Reply is committed to ensuring that our candidate selection methods are fair and just. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.