Fullstack ai engineer

Azienda Anonima; Ferrara; 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 deploy end-to-end AI-powered products in a fast-growing Italian startup. You will build Generative AI pipelines and RAG solutions, integrating diverse LLMs and vector/graph databases with scalable backend services.

The role requires strong Python/Node.js skills, deep GenAI expertise, and collaboration with frontend teams to deliver AI-powered user experiences.

Competenze

• 5+ years of software engineering experience with Generative AI technologies.
• Hands-on with Python (FastAPI) and/or Node.js (Express or NestJS).
• Experience with LLMs, prompt engineering, and AI orchestration frameworks such as LangChain, LangGraph, or LlamaIndex.
• Strong knowledge of RAG, embeddings, semantic search, vector databases, and knowledge management architectures.
• Experience 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.

Mansioni

• 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.

Conoscenze

Generative AI expertise

Problem solving

Cross-functional collaboration

Strumenti

Python

FastAPI

Node.js

Express

NestJS

LangChain

LangGraph

LlamaIndex

PostgreSQL

MongoDB

Pinecone

Weaviate

Milvus

pgvector

Neo4j

React

Vue.js

TypeScript

Docker

Kubernetes

CI/CD

AWS

GCP

REST

GraphQL

Descrizione del lavoro

What we are looking for?

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.