Leonardo · Roma - Via Laurentina, Italy

Job Description: Leonardo SpA è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’ Area Cyber & Security Solutions , stiamo ricercando un/a Data & application engineer per le nostre sedi di Roma e Genova . La persona si occuperà delle seguenti attività: Progettare e sviluppare componenti di RAG/LLM per risposte sintetiche e spiegabili su documenti interni (prompting, tool/function calling se previsto, gestione multi-turn). Definire e implementare metodologie di valutazione (offline/online) per qualità delle risposte: groundedness (aderenza alle fonti), completezza, coerenza, gestione incertezza e copertura del retrieval. Creare dataset di test e “golden set” di dominio (domande reali, query complesse, casi ambigui/contraddittori) e automatizzare la generazione di report di performance. Tuning del retrieval ibrido (BM25 + semantic): scelta top-k, pesi, filtri metadati, dedup/reranking e query rewriting per sigle/gergo tecnico. Sviluppare logiche di planning per query complesse (decomposizione in sotto-query/DAG) e criteri di stop/iterazione del ciclo retrieve→answer→critique. Collaborare con team di piattaforma per integrazione con inference backend e garantire requisiti di latenza/streaming (SSE) e robustezza in modalità degraded. Implementare strumenti e pipeline software (Python) per esperimenti riproducibili: tracking configurazioni, versioning prompt/modelli, ablation study, analisi errori e regressioni. Titolo di studio: Laurea magistrale o PhD in Data Science, Informatica, Ingegneria, Matematica, Statistica o discipline affini Seniority: Junior/Expert. Conoscenze e competenze tecniche: Ottima programmazione in Python (design modulare, testing, packaging), uso di Git e code review. Esperienza con NLP/LLM e architetture RAG (embeddings, chunking, retrieval, grounding, citazioni). Capacità di costruire evaluation framework: metriche automatiche + human-in-the-loop, analisi qualitativa degli errori, definizione di soglie e criteri di accettazione. Familiarità con vector search e sistemi di ricerca (OpenSearch/Elasticsearch o equivalenti), BM25, KNN, reranking. Conoscenza di FastAPI/REST per integrazione servizi e debugging di flussi end-to-end. Buone basi di statistica sperimentale (A/B test concettuale, significatività, bias/variance), ottimizzazione e interpretazione risultati. Gradita esperienza con stack containerizzato (Docker/Kubernetes) e GPU inference (concetti di latenza, batching, timeouts). Competenze comportamentali: Forte orientamento al risultato e capacità di passare dal prototipo al software robusto. Attitudine al problem solving su dati/documenti complessi e requisiti stringenti di trasparenza. Autonomia nella conduzione di esperimenti, ma anche capacità di lavorare in team cross-funzionali (AI, backend, cybersecurity, domain expert). Comunicazione chiara: capacità di spiegare trade-off, limiti e incertezze in modo verificabile Conoscenze linguistiche : Inglese almeno B2/C1 (scrittura documentazione tecnica, lettura paper e doc di prodotto. Competenze informatiche: Linux, Git, strumenti di CI/CD, strumenti di tracking (Jira/analoghi), ambiente notebook e scripting, Ottima conoscenza del linguaggio Python e delle librerie più popolari (numpy, pandas, opencv), Esperienza in addestramenti e fine-tuning di modelli di AI su framework PyTorch/PyTorch Lightining/Hugginface. Altro (es. Disponibilità a trasferte, Certificazioni specifiche…): Disponibilità a trasferte occasionali; gradite certificazioni/esperienza su MLOps, osservabilità (logging/metrics), sicurezza applicativa in contesti enterprise/regulated; gradita esperienza con dati e documentazione in ambito difesa/sicurezza. Coinvolgimento, valorizzazione delle competenze , cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità . Cosa offriamo? Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti; Modalità di lavoro: Ibrida; Categoria contrattuale: Impiegato; Tipologia contrattuale: tempo indeterminato; Tredicesima mensilità; Premialità legata ai risultati di Business; Buoni Welfare dal valore di 250 euro annui; Mensa aziendale; Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente. Aspettiamo la tua candidatura : inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. Come funziona il processo di selezione? A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Seniority: Expert Primary Location: IT - Roma - Via Laurentina Additional Locations: IT - Genova - Fiumara Contract Type: Permanent Total Base Pay Range: 36k - 59k Hybrid Working: Hybrid

STMicroelectronics · Agrate Brianza, IT

OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world. Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential. Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you. YOUR ROLE At STMicroelectronics, we are accelerating the adoption of Agentic and Generative AI to fundamentally transform semiconductor engineering workflows. In this role, you will be a key contributor to the introduction of LLM‑powered, agentic AI systems into Front‑End (FE) digital design environments. Your primary mission is to design, develop, and industrialize agentic AI solutions capable of reasoning, planning, and acting across complex engineering workflows. These solutions will connect knowledge bases, design guidelines, EDA tools, and automated checks to deliver guided automation, embedded quality guardrails, and measurable improvements in productivity and design quality. You will work in close collaboration with digital design experts to ensure that AI agents are effectively grounded in FE design practices and can scale to industrial‑grade usage across ST design teams and sites. Your main responsibilities will include: * Lead the design and deployment of agentic AI and LLM‑based systems for engineering workflows. * Develop AI agents capable of reasoning, task orchestration, tool invocation, and workflow automation. * Integrate LLM‑based agents with internal knowledge bases, coding/design guidelines, and EDA environments. * Define architectures for human‑in‑the‑loop AI systems with embedded quality, safety, and traceability. * Collaborate with design and methodology teams to ground AI solutions in real FE digital design use cases. * Contribute to the definition of metrics to assess impact on productivity, design cycle time, and quality. * Participate in the evaluation of internal and external AI and EDA technology solutions. * Support the industrialization, scalability, and governance of AI solutions in engineering environments. YOUR SKILLS & EXPERIENCES Primary skills – Agentic AI & Software Engineering * Master’s degree in Computer Science, AI, Data Science, Computer Engineering, or equivalent. * Strong experience in AI/ML and Generative AI, with clear exposure to LLMs and agentic AI systems. * Practical experience with: * Agent architectures (tool‑using agents, planners, multi‑agent or workflow‑driven systems) * Prompt engineering, retrieval‑augmented generation (RAG), and AI orchestration frameworks * Strong software engineering skills (Python, APIs, workflow integration, automation). * Ability to design robust, explainable, and scalable AI systems for industrial environments. * Experience integrating AI solutions with existing tools and complex enterprise systems. Secondary skills – Digital Design Domain Knowledge * Good understanding of digital front‑end design principles (RTL design, structural checks, design quality). * Familiarity with EDA tool environments and design workflows is a strong asset. * Ability to work closely with design and verification teams to translate domain needs into AI capabilities. * Interest in applying AI to engineering productivity, quality, and design robustness. Additional qualifications * Strong analytical mindset with focus on measurable impact. * Excellent communication skills and ability to work in international, multi‑site teams. * Autonomous, proactive, and comfortable working at the intersection of AI research and industrial deployment. * Fluent business English (spoken and written). ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.

Lexroom · Milan, Italy

At Lexroom http://lexroom.ai/, we’re not just building software; we’re revolutionizing the way legal professionals work. Our mission? To empower lawyers, law firms and companies with a world-class AI product that saves time, boosts productivity, and redefine what’s possible in the legal world. To become the most innovative AI company in Italy. To build the new sales standard, the sales school for B2B sales in Italy. We’re changing the game, and we’re doing it with a team of rockstars who are looking for their next big challenge and ambition. WHY LEXROOM http://lexroom.ai/? - Shape the Future: Be part of the team that’s leading the AI revolution for legal professionals. - Grow with Rockstars: Collaborate with industry-leading talents in an environment that values creativity, ambition, and growth. - Make an Impact: Your work will directly influence how lawyers around the world practice law—more efficiently, effectively, and intelligently. At Lexroom http://lexroom.ai/, we don’t just promise career growth; we promise a journey of learning, impact, and purpose. Ready to change the world of law? WHAT YOU'LL DO - Design and build robust, scalable APIs and backend services using Python with Django or FastAPI. - Own the backend architecture of core product features: from data modelling to deployment. - Optimize database performance across SQL, NoSQL, and Vector stores — for speed, reliability, and AI-readiness. - Develop and improve backend services that integrate LLM and NLP capabilities into our product, building on top of our AI platform. - Collaborate with frontend and product teams through well-defined, reliable API contracts. - Uphold engineering standards through code reviews, testing, and CI/CD best practices. WHAT YOU'LL BRING - 3+ years of backend development experience, with strong Python skills. - Solid experience with Django or FastAPI in production environments. - Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure fundamentals. - Experience with modern databases — relational, document-based, or vector (a plus). - Strong understanding of Git workflows, API design, and software engineering principles. - Experience or genuine interest in ML/NLP and LLM integrations is a significant plus. - Familiarity with AI developer tools and ecosystems — such as LangChain, LlamaIndex, OpenAI API, Anthropic Claude, or similar frameworks — is a plus. - Proactive, ownership-driven mindset — you flag problems, propose solutions, and follow through. WHAT SETS US APART An Exceptional Team At http://lexroom.aiLexroom.ai http://Lexroom.ai, you’ll work alongside top talent in tech and legal AI. Our focused teams operate with purpose and autonomy, so every contribution delivers visible results. You’ll collaborate with people who pair innovation with rigor, curiosity with discipline, ambition with depth. Growth that Matters We hire exceptional people to make a difference—and we give them space to lead. Your work will shape the future of legal technology and set new standards for the field. Impact is defined by vision and execution, not by age or title. If you’re ready to take responsibility, you’ll find real opportunities to grow and lead high-stakes projects. Rewarding Your Contribution We value excellence and share success: - Annual Salary Range: €40,000 – €100,000 - Equity Package: Align your growth with the company’s long-term success. BENEFITS THAT MATTER - Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Milan HQ. - Health Insurance: Comprehensive coverage to ensure peace of mind. - Meal Vouchers: Daily support to make your lunch breaks easier. - Performance Bonuses: Rewards tied directly to measurable results. - Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas. At Lexroom http://lexroom.ai/, we’re driven by bold ambitions and a passion for excellence. We’re building something great, and that requires dedication, hard work, and a commitment to continuous growth. If you’re excited about the opportunity to challenge yourself, work hard and make a real impact, then we’d love to see your application.

Lexroom · Milan, Italy

At Lexroom.ai http://Lexroom.ai, we set the bar for legal AI—clear, fast, and built for trust. In just a few years, what began as an idea has become a reliable platform adopted by thousands of legal professionals across Europe. Our mission is clear: make the law faster, clearer, and more reliable, giving lawyers, law firms, and companies the time and confidence to focus on what truly matters. We’re growing fast, backed by top-tier investors and a world-class team committed to rigor, clarity, and impact. Today, Lexroom is a trusted partner, shaping the evolution of legal AI with the same rigor and precision that define our product. WHY LEXROOM.AI http://Lexroom.ai? - Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe. - Work with the Best: Collaborate with exceptional minds driven by competence, curiosity, and ambition. - Deliver Meaningful Results: Your contribution will empower legal professionals to make faster, clearer, and more reliable decisions worldwide. At Lexroom.ai http://Lexroom.ai, we leave buzzwords behind. Here, you’ll build something that lasts: a trusted platform, a strong reputation, a new standard for the legal world. WHAT YOU'LL DO - Design and build agent-driven and RAG-based AI systems to solve complex legal tasks with precision and efficiency. - Fine-tune and post-train LLMs using cutting-edge supervised and reinforcement learning techniques to raise response quality. - Develop and optimize large-scale search pipelines for LLM-powered agents. - Implement and refine NLP algorithms to extract, structure, and validate information from legal documents. - Run end-to-end evaluations to pinpoint bottlenecks, measure performance, and guide continuous improvements. - Work closely with legal experts to design evaluation protocols and build reliable, domain-specific datasets that strengthen every layer of the stack. - Maintain technical excellence by following established best practices, coding standards, and rigorous code-review processes. WHAT YOU’LL BRING - Proven expertise in building and managing robust ML pipelines. - Strong Python skills with hands-on experience in LLM research and deep learning systems. - Knowledge of search technologies such as full-text search, vector databases, or other large-scale retrieval systems. - Collaborative mindset and readiness to work with legal experts, researchers, and engineers to keep improving the product. - Familiarity with MLOps and integrating ML models into production backends (a strong plus). - Up-to-date with LLM innovation, ideally with experience in pre-training or deploying large-scale models in real-world scenarios. WHAT SETS US APART An Exceptional Team. At Lexroom.ai http://Lexroom.ai, you’ll work alongside top talent in tech and legal AI. Our focused teams operate with purpose and autonomy, so every contribution delivers visible results. You’ll collaborate with people who pair innovation with rigor, curiosity with discipline, ambition with depth. Growth that Matters. We hire exceptional people to make a difference—and we give them space to lead. As we scale, your work will shape the future of legal technology and set new standards for the field. Impact is defined by vision and execution, not by age or title. If you’re ready to take responsibility, you’ll find real opportunities to grow and lead high-stakes projects. Rewarding Your Contribution. We value excellence and share success: - Annual Salary Range: €45,000 – €100,000 - Equity Package: Align your growth with the company’s long-term success. BENEFITS THAT MATTER - Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Milan HQ. - Health Coverage: Comprehensive insurance to keep you secure and focused. - Meal Vouchers: Daily support for your lunch breaks. - Performance Bonuses: Rewards directly tied to measurable results. - Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas. **At Lexroom.ai http://Lexroom.ai, ambition meets discipline and purpose. We’re not just building a product—we’re setting a new standard for the legal world. If you’re ready to contribute to something lasting and meaningful, we’d love to hear from you.**