Full-Stack AI Engineer: Shape Generative AI at Scale

Azienda Anonima

La Spezia

In loco

EUR 70.000 - 95.000

Tempo pieno

6 giorni fa
Candidati tra i primi
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Descrizione del lavoro

Azienda Anonima is seeking an experienced AI Engineer - Full Stack to join our fast-growing Italian startup in Liguria. You will design and build end-to-end Generative AI pipelines, from data ingestion to production deployment, collaborating with a dynamic, international team.

The role emphasizes scalable REST APIs, RAG architectures, vector and graph databases, and cloud deployment on AWS or GCP. You should bring strong Python/Node.js skills, hands-on LLM experience, and a collaborative mindset

Competenze

  • 5+ years of experience with Generative AI technologies.
  • Strong experience with Python (FastAPI) and/or Node.js (Express or NestJS).
  • Hands-on experience with LLMs, prompt engineering, and AI orchestration frameworks.
  • Solid understanding of RAG, embeddings, and vector databases.

Mansioni

  • Design, develop, and maintain LLM-based Generative AI pipelines.
  • Build and optimize Retrieval-Augmented Generation (RAG) solutions.
  • Design and implement Graph RAG architectures with knowledge graphs.
  • Develop AI Agents and orchestrated workflows with function calling.
  • Integrate leading LLMs and evaluate performance, quality, and cost.
  • Develop scalable REST APIs and backend services.
  • Work with vector and graph databases for knowledge management.

Conoscenze

Python
Node.js
FastAPI
LangChain
LLMs
REST APIs
Docker
Kubernetes
PostgreSQL
React/Vue

Strumenti

MongoDB
pgvector
Weaviate
Neo4j

Descrizione del lavoro

Azienda Anonima is seeking an experienced AI Engineer - Full Stack to join our fast-growing Italian startup in Liguria. You will design and build end-to-end Generative AI pipelines, from data ingestion to production deployment, collaborating with a dynamic, international team.

The role emphasizes scalable REST APIs, RAG architectures, vector and graph databases, and cloud deployment on AWS or GCP. You should bring strong Python/Node.js skills, hands-on LLM experience, and a collaborative mindset

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