Ai Engineer

OverviewAre you an AI Engineer expert in models that work and agents that learn?We are Reply, and we are looking for youWHO WE AREReply is a company that specialises in Consulting, Systems Integration and Digital Services with a focus on the conception, design and implementation of solutions based on the new communication channels and digital media.Reply partners with key industrial groups in defining and developing business models made possible by the new technological and communication paradigms such as Artificial Intelligence, Big Data, Cloud Computing, Digital Communication, the Internet of Things and Mobile and Social Networking.What will you do?Core activities.You will design and build Generative AI pipelines, train and fine-tune language models, and implement evaluation benchmarks.You will deploy and scale solutions on cloud platforms, ensuring your code runs smoothly in production.You will have the opportunity to turn cutting-edge research into real-world AI systems.Technologies.You will work with Python and modern AI frameworks like LangChain, LangGraph, LiteLLM, and Hugging Face Transformers.You will use vector databases, cloud platforms (AWS, GCP, Azure), containerization tools like Docker/Kubernetes, and evaluation tools such as Ragas or DeepEval.Team work.You will collaborate with a young, dynamic team of engineers and scientists in a hybrid setup.You will participate in code reviews, share knowledge, and work in a friendly, informal, and fun office environment that values creativity and continuous learning.Academic background.We are looking for people with a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related quantitative fields.A strong foundation in programming, especially Python, is essential.Valuable expertise You should have solid Python programming skills and experience with software engineering best practices.Hands-on knowledge of Generative AI frameworks, LLM training and fine-tuning, cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and evaluation or benchmarking of AI models is highly valuable.Nice to have.Contributions to open-source AI projects or a public portfolio, experience with infrastructure as code (e.g., Terraform), expertise in small, high-performance models, and skills in optimizing inference latency and costs are a plus.Familiarity with Claude Code is also welcome.Soft skills.You should be curious, proactive, and enjoy continuous learning.Strong problem-solving skills, critical thinking, adaptability, and the ability to work collaboratively in a team are important.Clear communication in English and attention to detail will help you succeed in this role.You will love working with us because...We have a start-up heart.Hundreds of small units with their own projects and teams.Guaranteed hands-on experience, flexibility, table footballs and free coffee.But we dream worldwide.We have the structure to make your ideas matter.We partner with major groups over 4 continents and 15 countries.We are customers-obsessed.Excellence is in our DNA.We strive for the best.We get our hands dirty.We get results.We are learning.We at Reply are always aiming for true innovation.Even though it still may look unreal.Next stepsThe 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.We care about an equal recruiting process.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.*****).Furthermore, Reply is committed to ensuring a fair and accessible selection process: to help you during the recruitment process, please let us know of any kind of support you may need.#J-*****-Ljbffr