Fullstack ai engineer
Pubblicato il 23-09-2026 - Azienda Anonima in Roma
What we are looking for?
L'esperienza richiesta ai candidati, così come le competenze e le qualifiche aggiuntive necessarie per questo lavoro, sono elencate di seguito.
A fast-growing Italian startup is looking for an experienced AI Engineer – Full Stack to join its team and contribute to the design and development of next-generation AI-powered products.
This 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.
Key Responsibilities
Design, develop, and maintain LLM-based Generative AI pipelines, ensuring high response quality, reliability, and low latency.
Build and optimize Retrieval-Augmented Generation (RAG) solutions, including chunking strategies, embeddings, vector search, semantic retrieval, and re-ranking.
Design and implement Graph RAG architectures leveraging knowledge graphs and semantic relationships to improve reasoning and traceability.
Develop AI Agents and orchestrated workflows using function calling, tool usage, and multi-step reasoning.
Integrate leading commercial and open-source LLMs (e.g. OpenAI, Anthropic, Google Gemini, Llama, Mistral), evaluating performance, quality, and cost trade-offs.
Design and develop scalable REST APIs and backend services exposing AI capabilities to frontend applications and third-party integrations.
Work with vector databases (Pinecone, Weaviate, Milvus, pgvector) and graph databases (Neo4j) to support knowledge management and intelligent retrieval.
Collaborate with frontend engineers to deliver conversational interfaces and AI-powered user experiences.
Optimize AI applications for scalability, reliability, and cost efficiency using cloud-native architectures on AWS or GCP.
Implement security best practices, authentication mechanisms, and prompt injection mitigation techniques.
Monitor and evaluate AI systems using model evaluation frameworks, RAG quality metrics, and LLM evaluation methodologies.
Troubleshoot and improve the entire AI lifecycle, from data ingestion through production deployment.
Requirements
5+ years of experience in Software Engineering, with significant exposure to Generative AI technologies.
Strong experience developing applications with Python (FastAPI) and/or Node.js (Express or NestJS).
Hands-on experience with LLMs, prompt engineering, AI orchestration frameworks such as LangChain, LangGraph, or LlamaIndex, and AI Agent development.
Solid understanding of RAG, Graph RAG, embeddings, semantic search, vector databases, and knowledge management architectures.
Experience working with PostgreSQL, MongoDB, and vector database technologies.
Knowledge of frontend technologies such as React or Vue.js, TypeScript, and modern web development practices.
Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Google Cloud Platform.
Familiarity with REST APIs, GraphQL, authentication mechanisms, and scalable distributed architectures.
Experience monitoring AI applications, evaluating model performance, and optimizing latency, quality, and infrastructure costs.
Strong software engineering fundamentals, including clean, maintainable code, testing, documentation, and code reviews.
Ability to work effectively in cross-functional and international teams.
Excellent problem-solving, communication, and stakeholder management skills.
What We're Looking For
We'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. xbvzest
This job opportunity is open to candidates of all genders, ages, and nationalities, in compliance with applicable equal opportunity and anti-discrimination legislation.