Fullstack Ai Engineer
Pubblicato il 21-09-2026 - Azienda Anonima in Milano
ppA fast-growing bItalian startup /b is looking for an experienced bAI Engineer – Full Stack /b to join its team and contribute to the design and development of next-generation AI-powered products.
/p pThis role is ideal for someone who is comfortable building end-to-end Generative AI systems, from data ingestion and knowledge retrieval to production deployment, while collaborating effectively in a dynamic and fast-paced startup environment.
/p ul liDesign, develop, and maintain LLM-based Generative AI pipelines, ensuring high response quality, reliability, and low latency.
/li liBuild and optimize Retrieval-Augmented Generation (RAG) solutions, including chunking strategies, embeddings, vector search, semantic retrieval, and re-ranking.
/li liDesign and implement Graph RAG architectures leveraging knowledge graphs and semantic relationships to improve reasoning and traceability.
/li liDevelop AI Agents and orchestrated workflows using function calling, tool usage, and multi-step reasoning.
/li liIntegrate leading commercial and open-source LLMs (e.g. OpenAI, Anthropic, Google Gemini, Llama, Mistral), evaluating performance, quality, and cost trade-offs.
/li liDesign and develop scalable REST APIs and backend services exposing AI capabilities to frontend applications and third-party integrations.
/li liWork with vector databases (Pinecone, Weaviate, Milvus, pgvector) and graph databases (Neo4j) to support knowledge management and intelligent retrieval.
/li liCollaborate with frontend engineers to deliver conversational interfaces and AI-powered user experiences.
/li liOptimize AI applications for scalability, reliability, and cost efficiency using cloud-native architectures on AWS or GCP.
/li liImplement security best practices, authentication mechanisms, and prompt injection mitigation techniques.
/li liMonitor and evaluate AI systems using model evaluation frameworks, RAG quality metrics, and LLM evaluation methodologies.
/li liTroubleshoot and improve the entire AI lifecycle, from data ingestion through production deployment.
/li li5+ years of experience in Software Engineering, with significant exposure to Generative AI technologies.
/li liStrong experience developing applications with Python (FastAPI) and/or Node.js (Express or NestJS).
/li liHands-on experience with LLMs, prompt engineering, AI orchestration frameworks such as LangChain, LangGraph, or LlamaIndex, and AI Agent development.
/li liSolid understanding of RAG, Graph RAG, embeddings, semantic search, vector databases, and knowledge management architectures.
/li liExperience working with PostgreSQL, MongoDB, and vector database technologies.
/li liKnowledge of frontend technologies such as React or Vue.js, TypeScript, and modern web development practices.
/li liExperience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Google Cloud Platform.
/li liFamiliarity with REST APIs, GraphQL, authentication mechanisms, and scalable distributed architectures.
/li liExperience monitoring AI applications, evaluating model performance, and optimizing latency, quality, and infrastructure costs.
/li liStrong software engineering fundamentals, including clean, maintainable code, testing, documentation, and code reviews.
/li liAbility to work effectively in cross-functional and international teams.
/li liExcellent problem-solving, communication, and stakeholder management skills.
/li /ul h3What We're Looking For /h3 pWe're looking for someone who combines strong software engineering skills with deep expertise in modern AI technologies, enjoys working in a startup environment, takes ownership of technical challenges, and is excited to build innovative AI solutions with real business impact.
/p pThis job opportunity is open to candidates of all genders, ages, and nationalities, in compliance with applicable equal opportunity and anti-discrimination legislation.
/p pFullstack ai engineer milano, lombardia, it /p /p #J-*****-Ljbffr