AI Engineer - Python Developer
TeamSystemDescrizione della posizione
We are
- *the leading Tech Company in Europe**
We are committed to
- *bringing digital technology into every business**
- *In Data, AI & Analytics Dept., we are dedicated to the evolution and optimization of the entire data-related value chain.**
Join an agile team where you can enhance your technical skills by participating in challenging and scalable projects in the field of software development.
In a fast-paced development environment focused on growth and innovation, you will be responsible for translating requirements into code to create, improve and maintain high-quality software.
In particular, you will be responsible for:
- Develop, maintain, and design an agentic AI platform with scalable software architectures, aimed at integrating advanced functionalities in the fields of Data, AI, and Analytics, optimizing the orchestration and performance of intelligent agents.
- Develop and integrate data pipelines for both structured and unstructured data, including connections to relational and vector databases, and implement AI models (LLMs, fine-tuning, prompting) tailored to specific business use cases.
- Manage AI solutions end-to-end in production, including interdisciplinary collaboration, monitoring, and maintenance to ensure reliability, security, compliance, and clear technical documentation.
- *What skills are we looking for?
- Advanced knowledge of Python and libraries for integrating LLMs and AI agents (LangChain, LlamaIndex, etc.), with experience in orchestration techniques, agent chains, and Retrieval-Augmented Generation (RAG).
- Experience in developing APIs and microservices (FastAPI, Flask, Django) and integrating them with existing systems.
- Experience with vector databases (MongoDB, Pinecone, Milvus) and relational databases (PostgreSQL, SQL).
- Knowledge of container-based architecture (Docker, Kubernetes) for scalable deployment of AI applications.
- Version control management (Git) and continuous integration / continuous deployment (CI/CD).
- Experience with cloud environments (AWS, Azure, GCP) for training, deploying, and managing AI models in production.
- Basic data engineering skills, including pipelines for structured and unstructured data.
- Advanced proficiency in English (C1 level).
- *Nice to Have
- Knowledge of event-driven architectures and integration with message brokers (Kafka, RabbitMQ).
- Ability to fine-tune LLM models on proprietary data and apply advanced prompt engineering techniques.
- Experience in AI security and compliance, including data protection techniques and AI governance.
- Familiarity with serverless infrastructures and cloud cost optimization.
- Experience in optimized vector search and techniques for compression/quantization of AI models.
- *growth mindset**
•
- *ENTREPRENEURSHIP**
- is the engine that drives us to excel, innovate and challenge ourselves for our own success and that of our company. We are proactive, responsible and customer- centric, always ready to question the status quo and achieve extraordinary results.
- *INNOVATION**
- is the guiding light that illuminates our path as we move through an environment full of different experiences, knowledge and perspectives. We are not afraid of making mistakes; we work in an environment that is fertile for the development of innovative solutions.
- *INCLUSION**
- is the sentiment that guides our relationships amongst individuals, each of whom has a different history and experience. We advocate for an inclusive work environment that values each person's unique characteristics.
- *What we offer:**
We believe that
- *by creating value**
- *a culture of excellence, innovation and ethical andresponsible business practices.**
We are a
- *tech company**
- *We believe in a dynamicenvironment where innovation, growth and wellbeing intertwine every day.**
- *WELLBEING:**
- *FLEXIBILITY:**
- *DEVELOPMENT AND GROWTH:**
- *DIVERSITY AND INCLUSIVITY:**
- *IMPACT:**
We are committed to creating shared value: for our customers, our partners and thecommunity. In every project, we focus on sustainability and innovation.
Locations
- *Milano, Roma, Torino**
¿Te interesa este puesto?