Fullstack ai engineer

Azienda Anonima; Mantova; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

Azienda Anonima in Lombardy seeks an experienced AI Engineer – Full Stack to design and deploy end-to-end AI-powered products. You will drive data ingestion, retrieval, and production deployment in a fast-paced startup environment.

Responsibilities include building LLM-based pipelines, RAG architectures with embeddings and vector databases, and scalable REST APIs. Collaboration with frontend teams and cloud-native optimization are key aspects of the role.

Competenze

• 5+ years of experience in Software Engineering with Generative AI exposure.
• Proficiency in Python (FastAPI) and/or Node.js (Express or NestJS).
• Hands-on with LLMs, prompt engineering, and AI orchestration frameworks (LangChain, LangGraph, LlamaIndex).
• Solid understanding of RAG, embeddings, semantic search, vector databases, and knowledge management.
• Experience with PostgreSQL, MongoDB, and vector databases.
• Frontend familiarity (React or Vue.js), TypeScript, and modern web practices.
• Experience with Docker, Kubernetes, CI/CD, and AWS/GCP.
• Knowledge of REST, GraphQL, authentication, and scalable architecture.
• Strong coding, testing, documentation, and code review habits.
• Ability to work in cross-functional international teams.

Mansioni

• Design, develop, and maintain LLM-based Generative AI pipelines with high quality and low latency.
• Build Retrieval-Augmented Generation (RAG) solutions with embedding and vector search.
• Design Graph RAG architectures using knowledge graphs for reasoning and traceability.
• Develop AI Agents and orchestrated workflows with function calling and multi-step reasoning.
• Integrate leading LLMs (OpenAI, Anthropic, Gemini, Llama, Mistral) and evaluate trade-offs.
• Create scalable REST APIs and backend services for AI capabilities.
• Collaborate with frontend engineers for AI-powered UIs and experiences.
• Optimize AI apps for scalability, reliability, and cost in cloud native environments.
• Implement security, authentication, and prompt-injection mitigation.
• Monitor AI systems using evaluation metrics and latency/quality targets.

Conoscenze

Python (FastAPI)

Node.js (Express or NestJS)

LLMs / Prompt engineering

RAG / embeddings

REST APIs / GraphQL

Docker / Kubernetes

Cloud platforms (AWS/GCP)

Strumenti

LangChain

LangGraph

LlamaIndex

Pinecone

Weaviate

Milvus

pgvector

Neo4j

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.