ML/AI Engineer (LLM/RAG)

AIVB is looking for an ML/AI Engineer with at least 5 years of experience to lead the development of AI projects dedicated to the B2B market in sectors such as Fintech, Fashion, Pharma and Defence.

More details

AI Factory, an Italian spin-off of an AI Venture Builder, specialized in the development, integration, and implementation of artificial intelligence (AI) solutions for enterprises, is looking for an ML/AI Engineer with at least 5 years of experience.

In this role, you will lead the development of projects for the B2B market, taking direct responsibility for:

Designing, developing, and implementing end-to-end solutions based on LLMs and RAG, up to production readiness, in collaboration with the MLOps/DevOps team;

Selecting, testing, and optimizing on-premise open-source language models (e.g. LLaMA, Mistral, etc.) to meet specific business needs of our clients;

Building and managing complex data pipelines, including data collection, annotation, cleaning, and validation of textual datasets;

Collaborating with the business team and clients to translate functional requirements into technical specifications and effective AI architectures;

Staying up to date with the latest developments in LLMs and NLP, experimenting with new techniques and approaches to ensure state-of-the-art solutions.

Requirements

At least 5 years of total experience in software development/AI roles, with 2–3 years focused on NLP, Machine Learning, and/or LLM projects;

Proven experience in designing LLM-, NLP-, and Retrieval-Augmented Generation (RAG) pipelines;

Knowledge of frameworks such as LangChain and LlamaIndex; familiarity with Transformer architectures, prompt engineering techniques, embedding search, and fine-tuning;

Experience in using and/or deploying open-source on-premise models (no external APIs) for RAG applications;

Experience in handling annotated textual datasets (e.g. classification, NER, QA), including labeling and validation activities;

Optional: knowledge and hands-on experience with ontologies and knowledge graphs (e.g. Neo4j, Apache AGE Graph DB).

Contract & Compensation

Preference for freelance collaborations (VAT registered / Partita IVA), but we also consider full-time employment contracts, depending on the candidate’s profile and mutual needs;

Compensation commensurate with experience and level of commitment, with the possibility of a customized agreement during the interview process.

Why Work With Us

We develop tailor-made AI solutions for companies in sectors such as Fintech, Fashion, Pharma, and Defence, and actively participate in innovative national and international projects and grants;

You will have access to strategic resources, experienced mentors, and an international team with interdisciplinary expertise in AI, business, and technology development;

You will work in an experimental, execution-driven environment, where we test quickly, learn from results, and build scalable, high-impact solutions.

If you are passionate about real-world applied AI and want to contribute to concrete and innovative projects, apply now. We look forward to meeting you!

Preferred Qualifications / Pre-screening Questions

How many years of work experience do you have with Fine-Tuning?
Ideal answer: 2

How many years of work experience do you have with NLP Libraries?
Ideal answer: 3

How many years of work experience do you have in model containerization (e.g. Docker) and in building APIs (e.g. FastAPI) for model serving?
Ideal answer: 3

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