Role Description Ali Professional Divisione IT & DIGITAL ricerca per importante cliente, Startup Innovativa in ambito lead generation, un AI Fullstack Engineer che prenda in mano le piattaforme aziendali, sviluppando e ottimizzando i canali di acquisizione che permetteranno alla startup di crescere. Cerchiamo un Full Stack Developer con forte mindset backend, capace di progettare sistemi scalabili, integrare API, orchestrare dati e utilizzare l’AI come acceleratore reale di prodotto e sviluppo. - Progettazione e sviluppo di architetture backend robuste e scalabili - Costruzione di micro-servizi e sistemi modulari - Gestione database, pipeline dati e logiche di business - Ottimizzazione performance e affidabilità delle piattaforme API & Integrations - Sviluppo e integrazione di API REST/GraphQL - Connessione tra CRM, piattaforme marketing, sistemi di lead generation e tool esterni - Orchestrazione dati tra diverse fonti - Implementazione di workflow automatici e sistemi di sincronizzazione AI & Automation - Integrazione di modelli AI e LLM nei flussi di lavoro - Prompt engineering e orchestrazione agent-based - Costruzione di automazioni intelligenti - Sperimentazione continua su nuove tecnologie AI Product Development - Collaborazione con team strategy, marketing e sales - Traduzione di problemi business in soluzioni tecniche - Rapid prototyping di nuove funzionalità - Continuous improvement del sistema Qualifier Qualifications - Ottima esperienza backend development - Forte esperienza con API integration - Esperienza full stack (frontend + backend) Requirements - Backend: PHP/Laravel/MySQL - Frontend: React - Nice to have: Python - Database SQL e NoSQL Benefits - Sede di Milano, ampia flessibilità e possibilità full-remote.

Role Description The AI Leadership Programme Marker supports the delivery of a postgraduate-level professional learning programme by assessing learner assignments and providing high-quality, developmental feedback. Working remotely during defined marking periods, this role plays a critical part in ensuring consistent academic standards, timely assessment, and positive learner progression across the programme lifecycle. Key Responsibilities - Assess learner project submissions against defined criteria and marking rubrics. - Provide clear, constructive, and developmental written feedback on all assigned assessments. - Apply consistent grading standards aligned with programme calibration and moderation guidelines. - Collaborate with tutors and delivery team members to support marking consistency across cohorts. - Participate in calibration and moderation activities as required during each marking period. - Manage allocated marking workloads to meet agreed turnaround times and deadlines. - Work collaboratively with learner support teams to ensure feedback enables learner progression. - Maintain accurate records of assessment outcomes in relevant learning systems. - Provide further async-specific feedback to learners when requested, post mark & feedback. Qualifications - Demonstrated experience marking assessments at postgraduate level. - Strong understanding of leadership, strategy, or technology-related subject matter, with relevance to AI-enabled contexts. - Doctoral level qualification completed or currently in progress. - Ability to apply assessment rubrics objectively and consistently. - Excellent written communication skills with the ability to explain complex concepts clearly. - High levels of emotional intelligence and openness to feedback. - Confidence using online learning platforms and digital assessment tools. - Demonstrated interest in the future of artificial intelligence and leadership development. Benefits - Collaborative, people-centred performance culture. - Opportunities to grow in a fast-paced environment. - Flexible, remote-based working during defined marking periods. Our Recruitment Process - Application Submission: Complete the online form and answer brief application questions. - Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist. - Video Interview Stage: You’ll be invited to record short responses to 3 to 4 role-specific questions. - Live Interviews: Shortlisted candidates join first-round interviews and, where applicable, additional stages depending on the role. - Final Shortlist and Verification: Reference and background checks are completed. - Offer and Contracting: Successful candidates receive formal offers and contract documents. - Pre-boarding and Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.

Role Description Our client is a rapidly scaling, remote-first software provider specializing in governance technology. They streamline mission-critical decision-making and meeting workflows for high-level corporate leadership. Their diverse client base features leading European industrial groups, major media conglomerates, and energy giants, including several Tier-1 publicly traded corporations. - Tech stack: ASP.NET Core, React.js, F#, functional programming, event-driven architectures, AI, Azure. - AI & Agentic Frameworks: Proven experience building AI features into production SaaS products, including Agentic tools, RAG pipelines, and Model Context Protocol (MCP). - Vector Infrastructure: Deep understanding of vector databases and semantic search optimization. - Backend Engineering: Strong proficiency in ASP.NET Core and F# (or a deep commitment to Functional Programming paradigms). - Architecture: Experience designing and maintaining scalable, event-driven architectures. - Cloud Ecosystem: Hands-on experience with Azure deployments, specifically leveraging Azure AI infrastructure. - Frontend Integration: Experience working with React.js to deliver seamless, intuitive AI-driven user experiences. Nice to have: - Familiarity with benchmarking and evaluating different LLM providers and models' unique capabilities to optimize cost and latency. - Experience with advanced prompt engineering, fine-tuning workflows, or guardrail implementation. - Knowledge of modern CI/CD practices for AI/MLOps in an Azure environment. Responsibilities - AI Feature Development: Design, build, and deploy production-grade AI capabilities into our SaaS product, utilizing RAG pipelines, autonomous agentic tools, and Model Context Protocol (MCP). - Architectural Engineering: Architect and maintain highly scalable, reliable backend solutions using ASP.NET Core and F#, strictly adhering to functional programming principles and event-driven architectures. - Vector & Data Management: Implement and optimize vector databases to ensure ultra-low latency, highly accurate semantic search and contextual data retrieval. - Model Selection & Evaluation: Evaluate, benchmark, and integrate diverse LLMs and foundation models, matching their unique capabilities to specific product requirements for optimal cost, speed, and accuracy. - Cloud & AI Infrastructure: Orchestrate and manage secure, scalable workloads within the Azure ecosystem, specifically leveraging Azure AI deployments. Benefits - Udemy courses of your choice. - Team-buildings, events, marathons & charity activities to connect and recharge. - Workshops, trainings, expert knowledge-sharing that keep you growing. - Clear career path. - Absence days for work-life balance. - Flexible hours & work setup - work from any of listed locations and organize your day your way.

• Contribute to the design of AI-enabled solution architectures within the Avanade Catalyst Solutions portfolio • Apply and help develop reusable patterns, reference architectures, and accelerators • Adapt pre-built AI solutions to support client needs and evolving market requirements • Ensure solutions meet standards for scalability, security, and production readiness • Collaborate with engineering and delivery teams to identify opportunities for AI-driven tools and methods • Support the development of repeatable, outcome-based services • Help drive consistency in how AI solutions are implemented across engagements • Support architecture and deployment of ready-made AI offerings • Partner with security, risk, and compliance teams to align with enterprise requirements • Provide guidance to delivery teams