Fullstack Ai Engineer
Pubblicato il 22-09-2026 - Azienda Anonima in Bolzano
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 /p #J-18808-Ljbffr