Junior Ai Engineer - Site: Rome

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8pt2sp

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-*****-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8pt2sp