Junior AI Engineer - Site: Rome

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8ohca2

h3About Aieng /h3 pAieng is a high-growth innovative startup focused on delivering next-generation engineering solutions. We bridge the gap between ambitious vision and technical reality by investing heavily in research, development, and top-tier talent. We are building an intelligent automation platform based on modern microservices, where AI is an active participant in engineering and design processes. /p h3Your Role /h3 pAs a Junior AI Engineer, you will join our engineering team to help build AI-driven features for our platform, working on RAG pipelines, agentic and multi-agent workflows, and local LLM inference. With guidance from senior engineers, you will write Python services that integrate with our core C#/.NET backend. /p h3What You'll Do /h3 ul liBuild and improve RAG pipelines: document ingestion, embeddings, and retrieval from vector databases. /li liDevelop reasoning agents and multi-agent workflows, and evaluate their reliability. /li liHelp deploy and test open-weight models for local inference. /li liBuild Python AI services and expose them through clean REST APIs that integrate with our C#/.NET platform, in collaboration with the backend team. /li /ul h3Requirements /h3 ul liGood proficiency in Python and basic software engineering practices (Git, testing, REST APIs). /li liHands-on experience (even academic or personal) building RAG pipelines and agentic workflows with LLMs.



/li liPractical knowledge of multi-agent architectures (e.g., orchestrating multiple specialized agents). /li liInterest in integrating Python AI services with a C#/.NET backend; basic C# knowledge is a strong plus. /li liSolid fundamentals in Machine Learning and NLP. /li liDegree (or final year) in Computer Science, AI, Mathematics, Engineering, or a related field. /li li0–2 years of experience, including internships or thesis work. Please share a link to your projects! /li /ul h3Nice to Have /h3 ul liExperience with local inference tools (e.g., Ollama, vLLM, llama.cpp). /li liVector databases (e.g., Qdrant, Milvus, Weaviate). /li liFine-tuning (e.g., LoRA), for example for domain-specific engineering drawing pipelines. /li liComputer Vision or OCR experience. /li /ul h3Soft Skills /h3 ul liEngineering Mindset: Strong analytical, problem-solving, and communication skills, with a focus on delivering working, reliable features. /li liTeamwork: Ability to work collaboratively in a hybrid environment, both in-person and remotely. /li liCuriosity and willingness to learn fast in a rapidly evolving field. /li /ul h3What We Offer /h3 ul liMentoring from senior engineers and real ownership on industrial AI projects. /li liHands-on growth in RAG, agentic systems, and local LLM inference. /li /ul h3Workplace /h3 ul liHybrid Workplace. Main Site: Rome. /li /ul #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8ohca2