Fullstack Ai Engineer

Azienda Anonima; Udine; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Azienda Anonima is seeking an experienced AI Engineer – Full Stack to design and develop next-generation AI-powered products in a fast-paced startup environment in Udine, Italy. You will build end-to-end Generative AI systems, from data ingestion and knowledge retrieval to production deployment, collaborating with frontend engineers to deliver AI-powered user experiences.

Ideal candidates have strong software engineering fundamentals, hands-on experience with LLMs, RAG/Graph RAG, and

Competenze

• 5+ years of experience in Software Engineering with exposure to Generative AI tech.
• Proficient in Python (FastAPI) and/or Node.js (Express/NestJS).
• Hands-on with LLMs, prompt engineering, AI orchestration frameworks, and AI Agents.
• Solid understanding of RAG, embeddings, vector DBs, and knowledge management architectures.
• Experience with PostgreSQL, MongoDB, and vector databases.
• Frontend familiarity with React or Vue.js, TypeScript, and modern web practices.
• Experience with Docker, Kubernetes, CI/CD, and AWS/GCP.
• Familiarity with REST APIs, GraphQL, authentication, and scalable distributed systems.
• Strong software engineering fundamentals, code quality, testing, and documentation.

Mansioni

• Design and maintain LLM-based Generative AI pipelines with low latency.
• Build Retrieval-Augmented Generation (RAG) solutions and embeddings workflows.
• Develop Graph RAG architectures using knowledge graphs for reasoning and traceability.
• Create AI Agents and orchestrated workflows with function calling and multi-step reasoning.
• Evaluate multiple LLMs (OpenAI, Anthropic, Gemini, Llama, Mistral) for performance and cost.
• Design scalable REST APIs and backend services for AI capabilities.
• Work with vector and graph databases to support knowledge management and retrieval.
• Collaborate with frontend engineers for AI-powered conversational interfaces.
• Optimize AI apps for scalability, reliability, and cloud cost efficiency.
• Implement security best practices and prompt-injection mitigations.
• Monitor AI systems using evaluation metrics and latency targets.

Conoscenze

Python (FastAPI)

Node.js (Express/NestJS)

LLMs & prompt engineering

AI orchestration frameworks

RAG & Graph RAG

REST APIs

Docker & Kubernetes

Cloud platforms (AWS/GCP)

Vector databases & knowledge graphs

React/Vue.js & TypeScript

Strumenti

LangChain

LangGraph

LlamaIndex

PostgreSQL

MongoDB

Weaviate

Milvus

pgvector

Descrizione del lavoro

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.

This job opportunity is open to candidates of all genders, ages, and nationalities, in compliance with applicable equal opportunity and anti-discrimination legislation.