Milano-based Fullstack AI Engineer - GenAI, RAG & LLMs

Azienda Anonima

Milano

In loco

EUR 70.000 - 120.000

Tempo pieno

5 giorni fa
Candidati tra i primi
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Descrizione del lavoro

Azienda Anonima seeks an experienced AI Engineer – Full Stack to build next‑gen AI products in Milan. You’ll design end‑to‑end Generative AI systems, from ingestion to deployment, working with data, embeddings, and sophisticated retrieval methods.

Collaborate with frontend teams to deliver AI-powered experiences, optimize costs, ensure security and reliability, and continuously evaluate model performance in a fast-paced startup setting.

Competenze

  • 5+ years of experience in Software Engineering with Generative AI exposure.
  • Proficient in Python (FastAPI) and/or Node.js (Express or NestJS).
  • Hands-on experience with LLMs, prompt engineering, and AI orchestration frameworks such as LangChain/LangGraph/LlamaIndex.

Mansioni

  • Design, develop, and maintain LLM-based Generative AI pipelines with low latency.
  • Build and optimize Retrieval-Augmented Generation (RAG) solutions and vector search.
  • Implement Graph RAG architectures leveraging knowledge graphs and semantic relationships.
  • Develop AI Agents and orchestrated workflows using function calling and multi-step reasoning.
  • Integrate OpenAI, Anthropic, Gemini, Llama, Mistral models; assess trade-offs.

Conoscenze

Python
FastAPI
Node.js
LLMs
LangChain/LangGraph
AI Orchestration
React/Vue.js
TypeScript
REST APIs
Cloud (AWS/GCP)

Strumenti

PostgreSQL
MongoDB
Pinecone/Weaviate/Milvus/pgvector
Neo4j
Docker
Kubernetes

Descrizione del lavoro

Azienda Anonima seeks an experienced AI Engineer – Full Stack to build next‑gen AI products in Milan. You’ll design end‑to‑end Generative AI systems, from ingestion to deployment, working with data, embeddings, and sophisticated retrieval methods.

Collaborate with frontend teams to deliver AI-powered experiences, optimize costs, ensure security and reliability, and continuously evaluate model performance in a fast-paced startup setting.

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