Applied Ai Engineer

Azienda Anonima; Udine; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Azienda Anonima ricerca un Applied AI / Solutions Engineer per progettare architetture AI innovative e supportare l’adozione di soluzioni Generative AI in contesti enterprise e pubblico. Sarai responsabile dalla definizione delle architetture, allo sviluppo di PoC e MVP, fino all’implementazione di agenti AI e integrazione con sistemi esistenti.

Il ruolo richiede competenze solide in Python, framework AI e gestione di pipeline RAG, con attenzione a prestazioni, costi e conformità.

Competenze

• It has become hard to translate business challenges into scalable AI solutions.
• Esperienza pratica con LLM, prompt engineering e AI Agents.
• Conoscenza di framework e strumenti per pipelines RAG e integrazione enterprise.

Mansioni

• Analizzare requisiti e progettare architetture AI end-to-end.
• Develop PoCs e MVPs per validare soluzioni AI e opportunità di business.
• Progettare e ottimizzare pipeline RAG, prompt engineering e flussi di AI Agent.
• Integrate AI solutions with enterprise systems via API e infrastrutture esistenti.
• Valutare modelli AI per prestazioni, costi, scalabilità e conformità.
• Supportare progetti AI dall'esperimento al deployment in produzione.
• creare documentazione tecnica e trasferire conoscenze a clienti e team interni.
• Contribuire all'ottimizzazione di sicurezza, affidabilità e scalabilità.

Conoscenze

Generative AI

RAG pipelines

Python

LangChain

LlamaIndex

Haystack

LangGraph

AutoGen

AI Agents

APIs

Databases vettoriali

PostgreSQL

MongoDB

Redis

Pinecone

Weaviate

Chroma

Qdrant

PGVector

Docker

Git

AWS

Azure

GCP

Strumenti

Pinecone

Weaviate

Chroma

Qdrant

PGVector

PostgreSQL

MongoDB

Redis

Docker

Git

APIs

Descrizione del lavoro

Applied AI / Solutions Engineer (Generative AI & AI Agents)

Descrizione dell’offerta di lavoro

A fast-growing Italian startup is looking for an experienced Applied AI / Solutions Engineer to join its team and support the design, development, and adoption of innovative Generative AI solutions for enterprise and public sector environments.

The role focuses on translating business challenges into scalable AI solutions, designing architectures, developing PoCs and MVPs, and supporting the implementation of AI systems and autonomous agents in real-world scenarios.

Key Responsibilities

• Analyze customer requirements and design end-to-end AI solution architectures.


• Develop Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to validate AI solutions and business opportunities.


• Design and optimize RAG pipelines, advanced prompt engineering strategies, and AI Agent workflows.


• Integrate AI solutions with enterprise systems, databases, APIs, and existing infrastructures.


• Evaluate AI models and technologies based on performance, cost, scalability, and compliance requirements.


• Support AI projects throughout their lifecycle, from experimentation to production deployment.


• Create technical documentation, support knowledge transfer, and collaborate with customers and internal teams.


• Contribute to the optimization of AI solutions in terms of security, reliability, and scalability.

Requirements

• Experience designing and implementing Generative AI solutions and end-to-end RAG systems.


• Strong knowledge of Python and AI frameworks such as LangChain, LlamaIndex, Haystack, LangGraph, AutoGen, or similar.


• Hands-on experience with LLMs, prompt engineering, AI Agents, and model adaptation techniques.


• Experience integrating AI solutions with enterprise environments through APIs and existing systems.


• Knowledge of vector databases (Pinecone, Weaviate, Chroma, Qdrant, PGVector) and traditional databases (PostgreSQL, MongoDB, Redis).


• Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML deployment practices.


• Experience with Docker, Git, API development, and AI evaluation methodologies.


• Strong communication skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders.


• Experience working in enterprise environments and managing multiple priorities.

Nice to Have

• Experience with LLM fine-tuning techniques (LoRA, QLoRA).


• Knowledge of AI monitoring and evaluation frameworks.


• Experience in regulated industries such as finance, healthcare, or public sector.


• Cloud certifications or contributions to AI/ML open-source projects.

What We're Looking For

We are looking for a proactive and problem-solving professional who combines strong AI technical skills with consulting abilities, enjoys working closely with customers, and is passionate about transforming business challenges into innovative AI solutions.

This job opportunity is open to candidates of all genders, ages, and nationalities, in compliance with applicable equal opportunity and anti-discrimination legislation.