Full-Stack Engineer (AI/ML & MERN Stack)

Dicto AI; Alba; In loco; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

A software development company is seeking a full-stack engineer in Alba, Piedmont, Italy. The ideal candidate will have strong Python and machine-learning skills combined with MERN-stack development expertise. Responsibilities include building full-stack applications, developing AI-driven features, and deploying services in AWS or GCP. Ideal for entry-level candidates eager to engage in innovative projects.

Competenze

• Strong Python experience for backend development and applied ML.
• Hands-on experience building RAG systems: vector stores, retrieval layers, embedding models.
• Solid understanding of LLM integration and model-serving frameworks.

Mansioni

• Build and maintain full-stack applications using the MERN stack.
• Collaborate with teams to take AI-powered features from prototype to production.
• Deploy and manage services in AWS and/or GCP.

Conoscenze

Python

MERN stack

Machine learning

React

Node.js

PostgreSQL

APIs

AWS

GCP

Strumenti

MongoDB

CI/CD

LangChain

Haystack

Descrizione del lavoro

Overview

We’re looking for a full-stack engineer with strong Python and machine-learning experience, combined with solid MERN-stack development skills. This role mixes applied AI work, backend engineering, and full product delivery. You’ll work across data pipelines, APIs, model integration, retrieval-augmented generation (RAG) systems, and cloud-native deployments.

Responsibilities

Build and maintain full-stack applications using the MERN stack (MongoDB, Express, React, Node.js).

Develop backend services and AI-driven features using Python.

Design and maintain RAG pipelines, vector databases, embeddings workflows, and model-serving integrations.

Work across ML workflows: data ingestion, preprocessing, inference, and evaluation.

Implement scalable APIs and microservices integrating ML or LLM-based components.

Deploy and manage services in AWS and/or GCP (compute, storage, networking, CI/CD).

Work with PostgreSQL and MongoDB for structured and unstructured data.

Collaborate with product and technical teams to take AI-powered features from prototype to production.

Maintain quality, performance, and reliability across the stack.

Required Skills

Strong Python experience for backend development and applied ML.

Hands‑on experience building RAG systems: vector stores, retrieval layers, embedding models.

Solid understanding of LLM integration, prompt patterns, and model‑serving frameworks.

MERN‑stack experience with strong React proficiency.

Strong Node.js and Express experience for API development.

Proficiency with PostgreSQL and database‑schema design.

Experience deploying both traditional and ML workloads on AWS or GCP.

Good grasp of distributed systems, containers, and CI/CD workflows.

Nice to Have

Experience with LangChain, LlamaIndex, Haystack, or similar frameworks.

Exposure to GPU workflows, inference optimization, or fine‑tuning.

Familiarity with serverless environments.

Experience with observability tools across backend and ML systems.

Profile

Comfortable owning work across backend, frontend, and ML integration.

Able to move quickly between prototyping and production‑grade implementation.

Pragmatic, product‑oriented, and comfortable operating in ambiguous environments.

Seniority level

• Entry level

Employment type

• Full‑time

Industries

• Software Development

Location

Alba, Piedmont, Italy