3 posizioni · 2 aperte · 1 scadute
Solo aperteGenerative AI Engineer
ScadutaLeonardo · Roma - Via Tiburtina, 965, Italy
midfull time10001+Aerospace & Defenseenglishlarge language modelsretrieval-augmented generationgeospatial foundation modelsai workflowssatellite imagerygeospatial datasetsJob Description: Leonardo is a global industrial group, among the main global players in Aerospace, Defence and Security that realises multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. Within Leonardo's Space Division, e-GEOS , an ASI (20%) and Telespazio (80%) company, is one of the leading international operators in the Earth Observation and geospatial information sector and offers a unique portfolio of application services. We're expanding our Generative AI capabilities around next-generation Earth Observation (EO) applications, combining Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Geospatial Foundation Models (GFMs) and agent-based workflows to transform how users access, analyse and interact with Earth Observation data, products and geo-information. Within the " Chief Technological Innovation Office " organizational unit at the Rome office we are looking for a resource to cover the position of Generative AI Engineer to help design, evaluate and implement AI-powered applications that integrate satellite imagery, geospatial datasets, technical documentation, environmental reports and operational knowledge into intelligent user experiences and decision-support systems. The role focuses on the design and implementation of production-oriented AI applications rather than foundational model research. You will work alongside software engineers, remote sensing scientists and domain experts to develop retrieval systems, AI copilots, agentic workflows and automated reasoning capabilities that leverage both structured and unstructured geospatial information. You'll be based in Rome and report to the reference technical lead, who will mentor you as you grow toward increasing ownership of our Generative AI architecture and AI-enabled products. There is a clear path toward technical ownership of our Earth Observation Generative AI stack. What you'll do Analyse, evaluate and implement state-of-the-art multi-modal and generative architectures applicable for Earth observation problems: data retrieval, preparation, model development, fine-tuning and evaluation pipelines. Design and implement Generative AI applications for Earth Observation and geospatial intelligence use cases based on cross-modal / multi-modal techniques, such as text-based object detection, visual question answering and image-text retrieval over satellite imagery. Integrate and exploit Large Language Models (LLMs) for agentic workflow execution and orchestrating multiple LLMs, Geospatial Foundation Models (GFMs), embeddings, and agents for report generation, environmental monitoring and alerting. Design and implement Knowledge Graphs of EO entities (sensors, missions, geographic features, products) for feasibility analysis and to ground LLM outputs in verified domain data. Develop Retrieval-Augmented Generation (RAG) solutions that combine Large Language Models with geospatial knowledge repositories, technical documentation, environmental datasets and operational information sources. Build agentic EO pipelines: route queries, break down tasks, call backends for data ingestion, preprocessing, chunking, metadata enrichment, indexing pipelines for structured and unstructured geospatial contents and return coherent answers. Design retrieval architectures leveraging embeddings, semantic search, hybrid search and reranking techniques. Integrate heterogeneous information sources including satellite imagery, metadata, STAC catalogues, geospatial datasets, reports, documentation, environmental observations, operational records into joint training and inference workflows. Design and orchestrate agent-based workflows combining LLMs, Geospatial Foundation Models, APIs, external tools and reasoning frameworks. Develop AI-powered assistants, copilots and automated workflows supporting environmental monitoring, geospatial analysis, report generation and operational decision-making. Experiment with fusion strategies and joint embedding spaces, benchmarking alternatives against project requirements and identifying accuracy, robustness, or cost trade-offs. Evaluate and benchmark retrieval quality, grounding accuracy, answer relevance, hallucination risk, latency and infrastructure costs. Implement prompt engineering, evaluation frameworks and testing methodologies to improve reliability and usability of AI solutions. Explore and evaluate emerging technologies, models and frameworks related to Generative AI, AI agents, reasoning systems and knowledge-augmented applications. Collaborate with platform engineers to transition prototypes into scalable, secure and production-grade services. Work closely with remote sensing scientists and domain experts to translate operational requirements into AI-enabled capabilities. Draft and review technical documentation, architectural specifications, design decisions and presentations for technical and non-technical audiences. Skills Master's degree in Engineering, Computer Science, Artificial Intelligence, Mathematics, Physics, Data Science or a related discipline; preference may be given to candidates holding a PhD. What we offer Our collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti" Working mode: Hybrid Contract category: Clerk Contractual type: 12-month fixed term Thirteenth month; Reward related to Business results; Welfare vouchers; Ticket of 8.50 euros Opportunities for training and continuous updating of professional skills and soft skills; Well-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs. Seniority: Junior Primary Location: IT - Roma - Via Tiburtina, 965 Contract Type: Fixed term Total Base Pay Range: 35 - 44K€ Hybrid Working: Hybrid
Pubblicato 1 mese faVedi dettagliBackend Engineer
IbridoLexroom · Milan, Italy
midfull time51-200Legal TechenglishAt 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.
Pubblicato 1 mese faVedi dettagliAI Engineer
Ibridofull time51-200Legal TechenglishAt 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.**
Pubblicato 5 mesi faVedi dettagli