Are you an AI Engineer expert in Large Language Models and Generative AI? Join Reply! 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. 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 Lo RA and QLo RA, ensuring efficient performance in terms of latency, throughput, and memory usage.

You will develop end-to-end Gen AI pipelines, from experimentation to production deployment across cloud and on-prem environments. Tech & tools stack. You will work primarily with Python and Large Language Models, leveraging the Mistral AI ecosystem.

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.

An offer tailored to your experience. 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.

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. 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.

Bachelor's or Master's degree in Computer Science or Computer Engineering.



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 Lo RA and QLo RA, as well as model optimization strategies including quantization, VRAM reduction, and latency/throughput tuning. You have experience building end-to-end Gen AI 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. You have strong problem-solving skills and a pragmatic mindset when dealing with complex AI systems.

You are proactive, curious, and comfortable working in fast-evolving environments where experimentation and iteration are key.

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). Previous experience in enterprise or consulting environments.

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. 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).

📌 Llm & Generative Ai Engineer (Lombardia)
🏢 Reply
📍 Lombardia